A Basic Study of Activity Type Detection and Energy Expenditure Estimation for Children and Youth in Daily Life using 3-Axis Accelerometer and 3-Stage Cascaded Artificial Neural Network

Jang, Yongwon ;   Song, Yoonseon ;   Noh, Hyung Wook ;   Kim, Seunghwan

Tags Neural networks in biosignal processing and classificationBiomedical signal classificationBiomedical simulation involving signal processing

It is important to prevent obesity in childhood given that many obese adults have been obese since childhood. An activity monitor could...

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A Brain Computer Interface for Robust Wheelchair Control Application based on Pseudorandom Code Modulated Visual Evoked Potential

Mohebbi, Ali ;   Engelsholm, Signe Katrine Dybbro ;   Puthusserypady, Sadasivan ;   Kjaer, Troels Wesenberg ;   Thomsen, Carsten Eckhart ;   Sorensen, Helge B D

Tags Biomedical signal classification

In this pilot study, a novel and minimalistic Brain Computer Interface (BCI) based wheelchair control application was developed. The system was...

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A Classification Method for Eye Movements Direction during REM Sleep Trained on Wake Electro-Oculographic Recordings

Betta, Monica ;   Laurino, Marco ;   Gemignani, Angelo ;   Landi, Alberto ;   Menicucci, Danilo

Tags Biomedical signal classificationPattern recognition methods for data mining in biosignalsPrincipal component analysis

Rapid eye movements (REMs) are a peculiar and intriguing aspect of REM sleep, even if their physiological function still remains unclear. During...

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A Comparative Study of Breast Cancer Diagnosis based on Neural Network Ensemble via Improved Training Algorithms

Azami, Hamed ;   Escudero, Javier

Tags Neural networks in biosignal processing and classificationBiomedical signal classification

Breast cancer is one of the most common types of cancer in women all over the world. Early diagnosis of this kind of cancer can significantly...

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A Comparison of Classification based Confidence Metrics for use in the Design of Myoelectric Control Systems

Scheme, Erik ;   Englehart, Kevin

Tags Biomedical signal classificationBiomedical simulation involving signal processingPattern recognition methods for data mining in biosignals

In many pattern recognition applications, confidence scores are used to extract more information than discrete class membership alone, yet...

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A Comparison of ERP Spatial Filtering Methods for Optimal Mental Workload Estimation

Roy, Raphaëlle N. ;   Bonnet, Stéphane ;   Charbonnier, Sylvie ;   Jallon, Pierre ;   Campagne, Aurélie

Tags Biomedical signal classification

Mental workload estimation is of crucial interest for user adaptive interfaces and neuroergonomics. Its estimation can be performed using...

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A Feature Design Framework for Hardware Efficient Neural Spike Sorting

Sokolic, Jure ;   Zamani, Majid ;   Demosthenous, Andreas ;   Rodrigues, Miguel R. D.

Tags Biomedical signal classificationPrincipal component analysis

We propose a feature design framework that con- siders simultaneously performance and computational complex- ity. In particular, we...

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A Heart Rate Detection Method using Bio-Impedance and MUSIC Algorithm with Reduced Sensitivity to Motion

Lee, Jonghwa ;   Cho, SeongHwan

Tags Biomedical signal classification

In this work, a motion-tolerant heart rate detection method using bio-impedance and Multiple Signal Classification (MUSIC) algorithm is proposed....

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A Lossless Data Reduction Technique for Wireless EEG Recorders and Its use in Selective Data Filtering for Seizure Monitoring

Dai, Chengliang ;   Bailey, Christopher

Tags Time-frequency analysis of biosignalsBiomedical signal classificationSignals and systems

This paper presents a time-domain based lossless data reduction technique called Log2 Sub-band encoding, which is designed for reducing the...

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A Low-Complex Multi-Channel Methodology for Noise Detection in Phonocardiogram Signals

Nunes, Diogo ;   Leal, Adriana ;   Couceiro, Ricardo ;   Henriques, Jorge ;   Mendes, Luis ;   de Carvalho, Paulo ;   Teixeira, César

Tags Time-frequency analysis of biosignalsBiomedical signal classificationPattern recognition methods for data mining in biosignals

The phonocardiography (PCG) is an important technique for the diagnosis of several heart conditions. However, the PCG signal is highly prone...

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A Morphological Classification Algorithm of ST Segment based on Multi-Feature

Fan, Shuqiong ;   Miao, Fen ;   Ma, Ruiqing ;   Li, Ye ;   Huang, Xuhui

Tags Biomedical signal classificationParametric filtering and estimationTime-scale and wavelets

This paper has been removed from the proceedings.

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A Multi-Spot Exploration of the Topological Structures of the Reconstructed Phase-Space for the Detection of Cardiac Murmurs

Oliveira, Jorge ;   Oliveira, Cristina ;   Cardoso, Bruna ;   Sultan, Malik Saad ;   Coimbra, Miguel

Tags Deterministic chaos in biomedical signal analysisBiomedical signal classificationNonlinear analysis of biomedical signals

Acoustic heart signals are generated by a turbulence effect created when the heart valves snap shut, and therefore carrying significant...

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A Neural Network based Infant Monitoring System to Facilitate Diagnosis of Epileptic Seizures

Ogura, Yuya ;   Hayashi, Hideaki ;   Nakashima, Shota ;   Soh, Zu ;   Shibanoki, Taro ;   Shimatani, Koji ;   Takeuchi, Akihito ;   Nakamura, Makoto ;   Okumura, Akihisa ;   Kurita, Yuichi ;   Tsuji, Toshio

Tags Biomedical signal classificationSignals and systemsData mining in biosignals

In this paper, we propose an infant monitoring system that automatically detects epileptic seizures in domestic and hospital environments. The...

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A Novel Method for Assessing the Severity of Levodopa-Induced Dyskinesia using Wearable Sensors

Lee, Sunghoon Ivan ;   Daneault, Jean-Francois ;   Golabchi, Fatemeh Noushin ;   Patel, Shyamal ;   Paganoni, Sabrina ;   Shih, Ludy ;   Bonato, Paolo

Tags Biomedical signal classification

Patients with Parkinson’s disease often experience significant changes in the severity of dyskinesia when they undergo titration of their...

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A One-Class Approach to Cardiotocogram Assessment

Gavrilis, Dimitris ;   Nikolakopoulos, George ;   Georgoulas, George

Tags Biomedical signal classificationPrincipal component analysis

Cardiotocogram (CTG) is the most widely means for the assessment of fetal condition. CTG consists of two traces one depicting the Fetal...

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A Parametric Probabilistic Context-Free Grammar for Food Intake Analysis based on Continuous Meal Weight Measurements

Papapanagiotou, Vasileios ;   Diou, Christos ;   Langlet, Billy ;   Ioakimidis, Ioannis ;   Delopoulos, Anastasios

Tags Biomedical signal classification

Monitoring and modification of eating behaviour through continuous meal weight measurements has been successfully applied in clinical practice...

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A Robust Myoelectric Pattern Recognition using Online Sequential Extreme Learning Machine for Finger Movement Classification

Anam, Khairul ;   Al-Jumaily, Adel

Tags Biomedical signal classificationSignal processing in physiological systemsNeural networks in biosignal processing and classification

A robust myoelectric pattern-recognition-system requires a system that should work in the real application as good as in the laboratory....

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A Supervised Learning Approach for the Robust Detection of Heart Beat in Plethysmographic Data

Grisan, Enrico ;   Cantisani, Giorgia ;   Tarroni, Giacomo ;   Yoon, Seung Keun ;   Rossi, Michele

Tags Biomedical signal classificationSignal processing in physiological systems

Wearable devices equipped with photoplethysmography (PPG) sensors are gaining an increased interest in the context of biometric signal...

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A Two-Stage Model for Inference of Target Identity during 2D Cursor Control from Natural Gaze Trajectories

Chen, Zhaokang ;   Shi, Bertram E

Tags Markov models in signal pattern classificationBiomedical signal classificationParametric filtering and estimation

We describe a two stage hidden Markov model based algorithm for inferring target identity in a 2D cursor control task where subjects are...

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Accelerometer-Based Signal Extraction Algorithm for Obstructive Sleep Apnea Hypopnea Preliminary Screening

Panigrahi, Bivas ;   Lee, Ming-Yih ;   Lin, Wen-Yen ;   Lee, Chung shu ;   Chen, Ning-Hung

Tags Biomedical signal classificationTime-frequency analysis of biosignals

In this paper, we presented an accelerometer-based sleep monitoring system which can be used for real-time capturing the vibration signals of...

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Age Group Classification and Gender Detection based on Forced Expiratory Spirometry

Ozbek, I. Yucel ;   Cosgun, Sema

Tags Biomedical signal classificationSignal processing in physiological systemsPattern recognition methods for data mining in biosignals

This paper investigates the utility of forced expiratory spirometry (FES) test with efficient machine learning algorithms for the purpose of...

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An Application of Gaussian Processes on Ocular Artifact Removal from EEG

Noorzadeh, Saman ;   Rivet, Bertrand ;   Gumery, Pierre-Yves

Tags Biomedical signal classificationNonlinear analysis of biomedical signals

Consequences of eye movements are one of the main interferences that distort the brain EEG recordings. In this paper, a multi-modal...

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An ECG Oximetry System for Identifying Obstructive and Central Apnoea Events

de Chazal, Philip ;   Sadr, Nadi ;   Jayawardhana, Madhuka

Tags Biomedical signal classificationMultivariate signal processingSignal processing in physiological systems

An automatic algorithm for processing simultaneously acquired electrocardiogram (ECG) and oximetry signals that identifies epochs of pure...

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An Enhanced Cerebral Recovery Index for Coma Prognostication Following Cardiac Arrest

Ghassemi, Mohammad ;   Amorim, Edilberto ;   Pati, Sandipan ;   Mark, Roger ;   Brown, Emery N ;   Purdon, Patrick ;   Westover, Brandon

Tags Biomedical signal classificationData mining in biosignalsMultivariate signal processing

Prognostication of coma outcomes following cardiac arrest is both qualitative and poorly understood in current practice. Existing quantitative...

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An Open-Source Toolbox for Standardized use of PhysioNet Sleep EDF Expanded Database

Imtiaz, Syed Anas ;   Rodriguez-Villegas, Esther

Tags Signal processing in physiological systemsBiomedical signal classificationSignals and systems

PhysioNet Sleep EDF database has been the most popular source of data used for developing and testing many automatic sleep staging...

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Analysis and Classification of Oximetry Recordings to Predict Obstructive Sleep Apnea Severity in Children

Gutierrez, Gonzalo Cesar ;   Kheirandish-Gozal, Leila ;   Álvarez, Daniel ;   Crespo, Andrea ;   Philby, Mona F. ;   Mohammadi, Meelad ;   del Campo, Félix ;   Gozal, David ;   Hornero, Roberto

Tags Signal processing in physiological systemsBiomedical signal classificationSignals and systems

Current study is focused around the potential use of oximetry to determine the obstructive sleep apnea-hypopnea syndrome (OSAHS) severity...

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Arousal Recognition System based on Heartbeat Dynamics during Auditory Elicitation

Nardelli, Mimma ;   Valenza, Gaetano ;   Greco, Alberto ;   Lanata', Antonio ;   Scilingo, Enzo Pasquale

Tags Signal processing in physiological systemsBiomedical signal classificationNonlinear analysis of biomedical signals

This study reports on the recognition of different arousal levels, elicited by affective sounds, performed using estimates of autonomic...

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Arrhythmia Classification based on Novel Distance Series Transform of Phase Space Trajectories

Sayed, Khaled ;   Khalaf, Aya ;   Kadah, Yasser M.

Tags Biomedical signal classification

Cardiac arrhythmia is a serious disorder in heart electrical activity that may have fatal consequences especially if not detected early. This...

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Arrhythmia Detection using Amplitude Difference Features based on Random Forest

Park, Juyoung ;   Seunghan, Lee ;   Kang, Kyungtae

Tags Biomedical signal classification

A number of promising studies have been proposed for diagnosing arrhythmia, using classification techniques based on a variety of heartbeat...

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Assessment of Cardiorespiratory Interactions in West Syndrome using Phase Rectified Signal Averaging

Varon, Carolina ;   Jansen, Katrien ;   Lagae, Lieven ;   Van Huffel, Sabine

Tags Nonstationary processing of biomedical signalsMultivariate signal processingBiomedical signal classification

West syndrome is an age-dependent epilepsy that deeply affects the cardiorespiratory controls of the autonomic nervous system. This work...

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Automated Analysis of Nocturnal Oximetry as Screening Tool for Childhood Obstructive Sleep Apnea-Hypopnea Syndrome

Álvarez, Daniel ;   Kheirandish-Gozal, Leila ;   Gutierrez, Gonzalo Cesar ;   Crespo, Andrea ;   Philby, Mona F. ;   Mohammadi, Meelad ;   del Campo, Félix ;   Gozal, David ;   Hornero, Roberto

Tags Multivariate signal processingSignal processing in physiological systemsBiomedical signal classification

Childhood obstructive sleep apnea-hypopnea syndrome (OSAHS) is a highly prevalent condition that negatively affects health, performance and...

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Automated Clustering of Independent Components for Discontinuous Sounds Thoracic Imaging

Charleston-Villalobos, Sonia ;   Castaneda-Villa, Norma ;   Gonzalez-Camarena, Ramon ;   Mejía Ávila, Mayra ;   Aljama-Corrales, Tomas

Tags Independent component analysisBlind source separationBiomedical signal classification

Discontinuous lung sounds (DLS), also known as crackles, are abnormal sounds produced by different pulmonary pathologies (PP) whose thoracic...

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Automated Sleep Spindle Detection using IIR Filters and a Gaussian Mixture Model

Patti, Chanakya Reddy ;   Penzel, Thomas ;   Cvetkovic, Dean

Tags Biomedical signal classificationData mining in biosignalsMultivariate signal processing

Sleep spindle detection using modern signal processing techniques such as the Short-Time Fourier Transform and Wavelet Analysis are common...

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Automatic Assessment of Voice Quality in the Context of Multiple Annotations

Gil González, Julián ;   Alvarez, Mauricio A. ;   Orozco, Alvaro

Tags Biomedical signal classificationTime-frequency analysis of biosignals

Approaches to evaluate voice quality include perceptual analysis, and acoustical analysis. Perceptual analysis is subjective and depends mostly...

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Automatic Cardiac Arrhythmia Detection and Classification using Vectorcardiograms and Complex Networks

Queiroz, Vinícius Augusto Pereira ;   Luz, Eduardo ;   Moreira, Gladston Juliano Prates ;   Guarda, Álvaro ;   Menotti, David

Tags Biomedical signal classificationPattern recognition methods for data mining in biosignals

This paper intends to bring new insights in the methods for extracting features for cardiac arrhythmia detection and classification systems....

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Automatic Characterization of Sleep Need Dissipation Dynamics using a Single EEG Signal

Garcia-Molina, Gary Nelson ;   Bellesi, Michele ;   Riedner, Brady ;   Pastoor, Sander ;   Pfundtner, Stefan ;   Tononi, Giulio

Tags Signal processing in physiological systemsBiomedical signal classificationPattern recognition methods for data mining in biosignals

In the two-process model of sleep regulation, slow-wave activity (SWA, i.e. the EEG power in the 0.5-4 Hz frequency band) is considered a...

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Automatic Classification of Saccadic versus Fixation Phases for Head-Free Gaze Shifts using Supervised Support Vector Machines with Gaussian Kernels

Haji Abolhassani, Iman ;   Galiana, Henrietta L.

Tags Biomedical signal classificationNonlinear analysis of biomedical signalsSignal processing in physiological systems

The gaze orientation system generates two major types of response, namely the fast (or saccadic) phase and the slow (or fixation) phase....

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Automatic Cough Episode Detection using a Vibroacoustic Sensor

Młyńczak, Marcel ;   Pariaszewska, Katarzyna ;   Cybulski, Gerard

Tags Biomedical signal classificationNeural networks in biosignal processing and classificationTime-frequency analysis of biosignals

Cough monitoring is an important element of the diagnostics of respiratory diseases. The European Respiratory Society recommends objective...

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Automatic Detection and Removal of Muscle Artifacts from Scalp EEG Recordings in Patients with Epilepsy

Anastasiadou, Maria ;   Christodoulakis, Manolis ;   Papathanasiou, Eleftherios S. ;   Papacostas, Savvas S. ;   Mitsis, Georgios D.

Tags Blind source separationTime-scale and waveletsBiomedical signal classification

Automatic detection and removal of muscle artifacts plays an important role in long-term scalp electroencephalography (EEG) monitoring, and...

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Automatic Identification of Artifacts in Electrodermal Activity Data

Taylor, Sara ;   Jaques, Natasha ;   Chen, Weixuan ;   Fedor, Szymon ;   Sano, Akane ;   Picard, Rosalind

Tags Biomedical signal classificationNeural networks in biosignal processing and classificationTime-scale and wavelets

Recently, wearable devices have allowed for long term, ambulatory measurement of electrodermal activity (EDA). Despite the fact that...

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Automatic Identification of Cyclic Alternating Pattern (CAP) Sequences based on the Teager Energy Operator

Machado, Fátima ;   Bento, Conceição ;   Sales, Francisco ;   Dourado, António ;   Teixeira, César

Tags Time-frequency analysis of biosignalsBiomedical signal classificationPattern recognition methods for data mining in biosignals

The Cyclic Alternating Pattern (CAP) is a periodic cerebral activity prevalent during Non-Rapid Eye Movement (NREM) sleep-stages. The CAP is...

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Automatic Localization of Epileptic Spikes in EEGs of Children with Infantile Spasms

Traitruengsakul, Supachan ;   Seltzer, Laurie E. ;   Paciorkowski, Alex R. ;   Ghoraani, Behnaz

Tags Biomedical signal classificationNonstationary processing of biomedical signalsTime-frequency analysis of biosignals

A novel methodology is proposed for identifying epileptiform discharges associated with individuals exhibiting Infantile Spasms (ISS) also known...

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Automatic Misclassification Rejection for LDA Classifier using ROC Curves

Menon, Radhika ;   Di Caterina, Gaetano ;   Lakany, Heba ;   Petropoulakis, Lykourgos ;   Conway, Bernard A ;   Soraghan, John J

Tags Biomedical signal classification

This paper presents a technique to improve the performance of an LDA classifier by determining if the predicted classification output is a...

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Automatic Sleep Staging using State Machine-Controlled Decision Trees

Imtiaz, Syed Anas ;   Rodriguez-Villegas, Esther

Tags Biomedical signal classificationSignal processing in physiological systemsSignals and systems

Automatic sleep staging from a reduced number of channels is desirable to save time, reduce costs and make sleep monitoring more accessible...

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Automatic Task Analysis based on Head Movement

Makepeace, Robert WIlliam ;   Epps, Julien

Tags Biomedical signal classificationPattern recognition methods for data mining in biosignals

Analysis of movement using accelerometers mounted on the torso or limbs has shown good potential for the recognition of physical activities....

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Binary Autonomic State Classification based on Basic Heart Rate Variability Indices

Ito, Toshiki ;   Yamashita, Shohei ;   Yana, Kazuo

Tags Biomedical signal classificationSignal processing in physiological systemsMultivariate signal processing

This paper examined the basic state classification accuracy utilizing standard heart rate variability (HRV) indices. HF, LF/HF, HRV mean and...

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Biometric Identification with High Frequency Electrocardiogram: Unregistered User Refusal Method and Performance Evaluation

Kyoso, Masaki

Tags Neural networks in biosignal processing and classificationBiomedical signal classificationPattern recognition methods for data mining in biosignals

As a new modality for biometric identification, electrocardiogram-based identification technique has been developed. We proposed a technique...

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Breast Cancer Classification using Extracted Parameters from a Terahertz Dielectric Model of Human Breast Tissue

Truong, Bao C. Q. ;   Hoang, Tuan D. ;   Fitzgerald, Anthony ;   Wallace, Vincent ;   Nguyen, Tuan Nghia ;   Nguyen, Hung T.

Tags Biomedical signal classificationNeural networks in biosignal processing and classificationBiomedical simulation involving signal processing

Our previous study proposed a dielectric model for human breast tissue and provided initial analysis of classification potential of the eight...

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Breath-By-Breath Detection of Apneic Events for OSA Severity Estimation using Non-Contact Audio Recordings

Rosenwein, Tal ;   Dafna, Eliran ;   Tarasiuk, Ariel ;   Zigel, Yaniv

Tags Signal processing in physiological systemsBiomedical signal classificationTime-frequency analysis of biosignals

Obstructive sleep apnea (OSA) is a prevalent sleep disorder, characterized by recurrent obstructions of the upper airway during sleep. We...

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Classification of Convulsive Psychogenic Non-Epileptic Seizures using Histogram of Oriented Motion of Accelerometry Signals

Kusmakar, Shitanshu ;   Gubbi, Jayavardhana ;   Rao, Aravinda ;   Yan, Bernard ;   O'Brien, Terence ;   Palaniswami, Marimuthu

Tags Biomedical signal classificationData mining in biosignals

Seizure is caused due to sudden surge of electrical activity within the brain. There is another class of seizures called psychogenic...

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Classification of Convulsive Psychogenic Non-Epileptic Seizures using Muscle Transforms Obtained from Accelerometry Signal

Kusmakar, Shitanshu ;   Gubbi, Jayavardhana ;   Yan, Bernard ;   O'Brien, Terence ;   Palaniswami, Marimuthu

Tags Time-scale and waveletsBiomedical signal classification

Convulsive psychogenic non-epileptic seizure (PNES) can be characterized as events which mimics epileptic seizures but do not show any...

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Classification of Driver Fatigue in an Electroencephalography-Based Countermeasure System with Source Separation Module

Chai, Rifai ;   Naik, Ganesh R ;   Tran, Yvonne ;   Ling, Steve ;   Craig, Ashley ;   Nguyen, Hung T.

Tags Biomedical signal classificationBlind source separationSignal processing in physiological systems

An electroencephalography (EEG)-based counter measure device could be used for fatigue detection during driving. This paper explores the...

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Classification of High Frequency Oscillations in Epileptic Intracerebral EEG

Jrad, Nisrine ;   Kachenoura, Amar ;   Merlet, Isabelle ;   Pasnicu, Anca ;   Bénar, Christian G. ;   Wendling, Fabrice

Tags Biomedical signal classificationSignal processing in physiological systemsTime-scale and wavelets

High Frequency Oscillations (HFOs 40-500 Hz), recorded from intracerebral electroencephalography (iEEG) in epileptic patients, are categorized...

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Classification of Hypoxic-Ischemic Encephalopathy using Long Term Heart Rate Variability based Features

Ahmed, Rehan ;   Temko, Andriy ;   Marnane, Liam ;   Boylan, Geraldine ;   Lightbody, Gordon

Tags Biomedical signal classificationData mining in biosignalsPattern recognition methods for data mining in biosignals

Hypoxic-ischemic HI injury at the time of birth could lead to severe neurological dysfunction at an older age. Therapeutic hypothermia can be...

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Classifying the Auditory P300 using Mobile EEG Recordings without Calibration Phase

Zink, Rob ;   Hunyadi, Borbala ;   Van Huffel, Sabine ;   De Vos, Maarten

Tags Biomedical signal classificationSignal processing in physiological systemsBlind source separation

One of the major drawbacks in mobile EEG Brain Computer Interfaces (BCI) is the need for subject specific training data to train a...

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Clustering Analysis to Identify Distinct Spectral Components of Encephalogram Burst Suppression in Critically Ill Patients

Zhou, David Wei ;   Westover, Brandon ;   McClain, Lauren M. ;   Nagaraj, Sunil Belur ;   Bajwa, Ednan K. ;   Quraishi, Sadeq A. ;   Akeju, Oluwaseun ;   Cobb, J. Perren ;   Purdon, Patrick L

Tags Biomedical signal classificationPattern recognition methods for data mining in biosignalsNonlinear dynamics in biomedical signals

Millions of patients are admitted each year to intensive care units (ICUs) in the United States. A significant fraction of ICU survivors...

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Comparison between Different Similarity Measure Functions for Optimal Clustering AEPs Independent Components

Castaneda-Villa, Norma ;   Cornejo-Cruz, Juan Manuel ;   Granados Trejo, María del Pilar

Tags Independent component analysisBlind source separationBiomedical signal classification

A critical part of applying Independent Component Analysis (ICA) to any neurophysiological data is the selection of relevant independent...

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Computerised Objective Measurement of Strain in Voiced Speech

Jalalinajafabadi, Farideh ;   Gadepalli, Chaitanya ;   Ghasempour, Mohsen ;   Lujan, Mikel ;   Cheetham, Barry ;   Homer, Jarrod

Tags Signals and systemsBiomedical signal classificationMultivariate signal processing

Voice quality assessment is required by healthcare professionals in patients suffering from voice problems. Speech and language therapists...

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Convolutional Neural Networks for Patient-Specific ECG Classification

Kiranyaz, Serkan ;   Ince, Turker ;   Gabbouj, Moncef ;   Hamila, Ridha

Tags Biomedical signal classificationNeural networks in biosignal processing and classificationPattern recognition methods for data mining in biosignals

We propose a fast and accurate patient-specific electrocardiogram (ECG) classification and monitoring system using an adaptive implementation...

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Detection of Essential Hypertension with Physiological Signals from Wearable Devices

Ghosh, Arindam ;   Mayor Torres, Juan Manuel ;   Danieli, Morena ;   Riccardi, Giuseppe

Tags Data mining in biosignalsBiomedical signal classificationSignal processing in physiological systems

Early detection of essential hypertension can support the prevention of cardiovascular disease, a leading cause of death. The traditional...

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Detection of Fiducial Points in ECG Waves using Iteration based Adaptive Thresholds

Kang, Wonjune ;   Byun, Kyungguen ;   Kang, Hong-Goo

Tags Signal processing in physiological systemsTime-frequency analysis of biosignalsBiomedical signal classification

This paper presents an algorithm for the detection of fiducial points in electrocardiogram (ECG) waves using iteration based adaptive...

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Detection of Mild Alzheimer's Disease and Mild Cognitive Impairment from Elderly Speech: Binary Discrimination using Logistic Regression

Kato, Shohei ;   Homma, Akira ;   Sakuma, Takuto ;   Nakamura, Munehiro

Tags Biomedical signal classificationData mining in biosignalsMultivariate signal processing

In this research, we have developed a novel data mining approach for detection of cognitive impairment, SPCIR (Speech Prosody-Based Cognitive...

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Differentiating Tremor Patients using Spiral Analyses

Koirala, Nabin ;   Muthuraman, Muthuraman ;   Anjum, Tauqeer ;   Chirumamilla, Venkata Chaitanya ;   Helmolt, Friederike von ;   Mideksa, Kidist Gebremariam ;   Lange, Katrin ;   Schmidt, Gerhard ;   Schneider, Sussane ;   Gunther, Deuschl

Tags Signal processing in physiological systemsTime-frequency analysis of biosignalsBiomedical signal classification

Essential tremor follows an autosomal dominant type of inheritance in the majority of patients, yet its genetic basis has not been identified....

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Discriminating Patterns of Neuronal Activity by Self Organization Map with Fuzzy Sets

Minoshima, Wataru ;   Ito, Hidekatsu ;   Kudoh, Suguru

Tags Fuzzy approaches to signal pattern classificationNeural networks in biosignal processing and classificationBiomedical signal classification

Recently, neuronal prosthesis is focused, especially represented at the Brain-Computer Interface (BCI). To decode neuronal signals...

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Distribution Entropy (DistEn): A Complexity Measure to Detect Arrhythmia from Short Length RR Interval Time Series

Karmakar, Chandan ;   Udhayakumar, Radhagayathri ;   Palaniswami, Marimuthu

Tags Nonlinear dynamics in biomedical signalsBiomedical signal classificationDeterministic chaos in biomedical signal analysis

Heart rate complexity analysis is a powerful non-invasive means to diagnose several cardiac ailments. Non-linear tools of complexity...

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Distribution Entropy Analysis of Epileptic EEG Signals

Li, Peng ;   Yan, Chang ;   Karmakar, Chandan ;   Liu, Changchun

Tags Nonlinear dynamics in biomedical signalsBiomedical signal classificationSignal processing in physiological systems

It is an open-ended challenge to accurately detect the epileptic seizures through electroencephalogram (EEG) signals. Recently published...

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Dry Contact Fingertip ECG-Based Authentication System using Time, Frequency Domain Features and Support Vector Machine

Singh, Karan ;   Singhvi, Akshit ;   Pathangay, Vinod

Tags Biomedical signal classificationSignal processing in physiological systemsNeural networks in biosignal processing and classification

Acquiring fingertip ECG (electro cardiogram) signal using dry contact electrodes is challenging due to the presence of noise and interference...

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Early Mastitis Diagnosis through Topological Analysis of Biosignals from Low-Voltage Alternate Current Electrokinetics

Zhang, Zhifei ;   Song, Yang ;   Cui, Haochen ;   Wu, Jayne ;   Schwartz, Fernando ;   Qi, Hairong

Tags Biomedical signal classificationPattern recognition methods for data mining in biosignals

Mastitis is the most economically important disease of dairy cows worldwide, and it constantly plagues the dairy industry. A reliable biosensing...

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ECG Signal Processing for Heat Rate Extraction

Fedotov, Alexander ;   Akulova, Anna ;   Akulov, Sergey

Tags Biomedical signal classificationPattern recognition methods for data mining in biosignalsPrincipal component analysis

This paper considers the novel QRS-detector of ECG signal based on the consecutive application of band-pass filtering, Hilbert transform and...

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EEG based Patient Emotion Monitoring using Relative Wavelet Energy Feature and Back Propagation Neural Network

Purnamasari, Prima Dewi ;   Ratna, Anak Agung Putri ;   Kusumoputro, Benyamin

Tags Neural networks in biosignal processing and classificationBiomedical signal classificationTime-frequency analysis of biosignals

In EEG-based emotion recognition, feature extraction is as important as the classification algorithm. A good choice of features results in...

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EEG Classification of Emotions using Emotion-Specific Brain Functional Network

Gonuguntla, Venkateswarlu ;   Shafiq, Ghufran ;   Wang, Yubo ;   Veluvolu, Kalyana C.

Tags Connectivity measurementsBiomedical signal classificationTime-frequency analysis of biosignals

The brain functional network perspective forms the basis to relate mechanisms of brain functions. This work analyzes the network mechanisms...

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EEG Error Potentials Detection and Classification using Time-Frequency Features for Robot Reinforcement Learning

Boubchir, Larbi ;   Touati, Youcef ;   Daachi, Boubaker ;   Ali Chérif, Arab

Tags Biomedical signal classificationTime-frequency analysis of biosignalsNeural networks in biosignal processing and classification

In thought-based steering of robots, error potentials (ErrP) can appear when the action resulting from the brain-machine interface (BMI)...

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EEG Recordings as a Source for the Detection of IRBD

Bisgaard, Sissel ;   Duun-Christensen, Bolette ;   Kempfner, Lykke ;   Sorensen, Helge B D ;   Jennum, Poul

Tags Biomedical signal classificationData mining in biosignalsPattern recognition methods for data mining in biosignals

The purpose of this pilot study was to develop a supportive algorithm for the detection of idiopathic Rapid Eye-Movement (REM) sleep...

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EEG Single-Channel Time Frequency Analysis for Motor Imagery Classification

Jaime, Camacho ;   Huertas, Raul ;   Manian, Vidya

Tags Time-frequency analysis of biosignalsTime-scale and waveletsBiomedical signal classification

This paper has been removed from the proceedings.

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EEG Time and Frequency Domain Analyses of Primary Insomnia

Tmar-Ben Hamida, Sana ;   Penzel, Thomas ;   Ahmed, Beena

Tags Time-frequency analysis of biosignalsBiomedical signal classification

In this work, we present a range of electroencephalographic (EEG) time and frequency domain features that can be used to characterize...

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Effect of Age on Changes in Motor Units Functional Connectivity

Poosapadi Arjunan, Sridhar ;   Kant Kumar, Dinesh

Tags Nonstationary processing of biomedical signalsSignal processing in physiological systemsBiomedical signal classification

With age, there is a change in functional connectivity of motor units in muscle. This leads to reduced muscle strength. This study has...

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Effect of Data Length and Bin Numbers on Distribution Entropy (DistEn) Measurement in Analyzing Healthy Aging

Udhayakumar, Radhagayathri ;   Karmakar, Chandan ;   Palaniswami, Marimuthu ;   Li, Peng

Tags Deterministic chaos in biomedical signal analysisBiomedical signal classification

Complexity analysis of a given time series is executed using various measures of irregularity, the most commonly used being Approximate...

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Effect of Downsampling and Compressive Sensing on Audio-Based Continuous Cough Monitoring

Casaseca-de-la-Higuera, Pablo ;   Lesso, Paul ;   McKinstry, Brian ;   Pinnock, Hilary ;   Rabinovich, Roberto ;   McCloughan, Lucy ;   Monge, Jesús

Tags Biomedical signal classificationTime-frequency analysis of biosignalsSignals and systems

This paper presents an efficient cough detection system based on simple decision-tree classification of spectral features from a smartphone...

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Effect of Filtering on the Classification Rate of Nonlinear Analysis Methods Applied to Uterine EMG Signals

Diab, Ahmad ;   Falou, Omar ;   Hassan, Mahmoud ;   Karlsson, Brynjar ;   Marque, Catherine

Tags Nonlinear analysis of biomedical signalsNonlinear filteringBiomedical signal classification

Nonlinear time series analysis can provide useful information regarding nonlinear features of biological signals. The effect of filtering on the...

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Electrohysterographic Detection of Uterine Contractions in Term Pregnancy

Bajlekov, Galin Ivanov ;   Rabotti, Chiara ;   Oei, S. Guid ;   Mischi, Massimo

Tags Biomedical signal classification

Uterine-contraction detection is a fundamental component of pregnancy monitoring. Electrohysterography (EHG) provides a non-invasive and...

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Emotion State Identification based on Heart Rate Variability and Genetic Algorithm

Yu, Sung-Nien ;   Chen, Shu-Feng

Tags Biomedical signal classificationGenetic algorithms in signal pattern classificationPattern recognition methods for data mining in biosignals

The objective of this study is to develop an effective emotion recognition system based on ECG. The proposed emotion recognition system is...

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Enhanced Robustness of Myoelectric Pattern Recognition to Across-Day Variation through Invariant Feature Extraction

Liu, Jianwei ;   Zhang, Dingguo ;   Sheng, Xinjun ;   Zhu, Xiangyang

Tags Biomedical signal classification

Robust pattern recognition is critical for myoelectric prosthesis (MP) developed in the laboratory to be used in real life. This study focuses...

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Epileptic Seizure Detection on Patients with Mental Retardation based on EEG Features: A Pilot Study

Wang, Lei ;   Cluitmans, Pierre J.M. ;   Arends, Johan B.A.M. ;   Wu, Yan ;   Sazonov, Andrei Vladimirovich

Tags Biomedical signal classificationTime-frequency analysis of biosignalsPhase locking estimation in biosignal analysis

Mental retardation (MR) is one of the most common secondary disabilities in people with Epilepsy. However, to our knowledge there are no...

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Estimating In-Home Walking Speed Distributions for Unobtrusive Detection of Mild Cognitive Impairment in Older Adults

Akl, Ahmad ;   Mihailidis, Alex

Tags Biomedical signal classificationBiomedical simulation involving signal processingSignals and systems

Timely recognition of cognitive impairment such as Alzheimer’s disease is of great significance. Many smart systems, developed to continuously...

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Estimation of Sleep Status in Sleep Apnea Patients using a Novel Head Actigraphy Technique

Hummel, Richard ;   Bradley, T. Douglas ;   Fernie, Geoff ;   Chang, Sung Jae Isaac ;   Alshaer, Hisham

Tags Time-frequency analysis of biosignalsSignal processing in physiological systemsBiomedical signal classification

Polysomnography is a comprehensive modality for diagnosing sleep apnea (SA), but it is expensive and not widely available. Several technologies...

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Evaluation of Sparse Representation based Classification Method for Online Brain-Computer Interface Systems

Shin, Younghak ;   Lee, Seungchan ;   Lee, Heung-No

Tags Biomedical signal classificationNonstationary processing of biomedical signals

Due to the inherent non-stationarity of electroencephalogram (EEG) signals, online brain-computer interface (BCI) classification is difficult...

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Feature Extraction for BCIs based on Electromagnetic Source Localization and Multiclass Filter Bank Common Spatial Patterns

Zaitcev, Aleksandr ;   Cook, Greg ;   Liu, Wei ;   Paley, Martyn ;   Milne, Elizabeth

Tags Biomedical signal classificationPattern recognition methods for data mining in biosignalsMultivariate signal processing

Brain-Computer Interfaces (BCIs) provide means for communication and control without muscular movement and, therefore, can offer significant...

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Feature Extraction using Time-Frequency Analysis for Monophonic-Polyphonic Wheeze Discrimination

Ulukaya, Sezer ;   Sen, Ipek ;   Kahya, Yasemin P.

Tags Time-frequency analysis of biosignalsBiomedical signal classification

The aim of this study is monophonic-polyphonic wheeze episode discrimination rather than the conventional wheeze (versus non-wheeze) episode...

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Fitness Activity Classification by using Multiclass Support Vector Machines on Head-Worn Sensors

Loh, Darrell ;   Lee, Matthew ;   Zihajehzadeh, Shaghayegh ;   Hoskinson, Reynald ;   Park, Edward J.

Tags Biomedical signal classificationTime-frequency analysis of biosignalsKalman filtering

Fitness activity classification on wearable devices can provide activity-specific information and generate more accurate performance metrics....

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Frequency Analysis of Urinary Bladder Pre-Voiding Activity in Normal and Overactive Human Detrusor: A Pilot Study

Zolliker, Daniel ;   Niederhauser, Thomas ;   Grämiger, Michelle ;   van Mastrigt, Ron ;   Burkhard, Fiona ;   Obrist, Dominik ;   Clavica, Francesco

Tags Time-frequency analysis of biosignalsBiomedical signal classification

The symptom complex of frequency and urgency with or without urge incontinence is termed overactive bladder (OAB). In some cases OAB is...

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Frequency-Based Features for Early Cerebral Palsy Prediction

Rahmati, Hodjat ;   Martens, Harald ;   Aamo, Ole Morten ;   Stavdahl, Øyvind ;   Støen, Ragnhild ;   Adde, Lars

Tags Biomedical signal classificationTime-frequency analysis of biosignalsPrincipal component analysis

In this paper we aim at predicting cerebral palsy, the most serious and lifelong motor function disorder in children, at an early age by...

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Functional Mesh Model with Temporal Measurements for Brain Decoding

Onal, Itir ;   Ozay, Mete ;   Yarman Vural, Fatos

Tags Biomedical signal classificationConnectivity measurementsPattern recognition methods for data mining in biosignals

We propose a method called Functional Mesh Model with Temporal Measurements (FMM-TM) to estimate a functional relationship among voxels using...

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Gaussian Mixture Model based Identification of Arterial Wall Movement for Computation of Distension Waveform

Patil, Ravindra ;   Palanisamy, Krishnamoorthy

Tags Biomedical simulation involving signal processingBiomedical signal classificationPattern recognition methods for data mining in biosignals

This work proposes a novel Gaussian Mixture Model (GMM) based approach for accurate tracking of the arterial wall and subsequent...

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Global EEG Segmentation using Singular Value Decomposition

Haddad, Ali ;   Najafizadeh, Laleh

Tags Signals and systemsPattern recognition methods for data mining in biosignalsBiomedical signal classification

In this paper, we propose a method based on singular value decomposition (SVD) for segmenting multichannel electroencephalography (EEG) data...

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Highly Scalable Parallel Processing of Extracellular Recordings of Multielectrode Arrays

Gehring, Tiago Victor ;   Vasilaki, Eleni ;   Giugliano, Michele

Tags Nonstationary processing of biomedical signalsBiomedical signal classification

Technological advances of Multielectrode Arrays (MEAs) used for multi- site, parallel electrophysiological recordings, lead to an ever increasing...

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Image Features of Spectral Correlation Function for Arrhythmia Classification

Khalaf, Aya ;   Owis, Mohamed ;   Yassine, Inas

Tags Biomedical signal classification

Recently, computerized arrhythmia classification tools have been intensively used to aid physicians to recognize different irregular...

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Improvement of an Automated Neonatal Seizure Detector using a Post-Processing Technique

Ansari, Amir Hossein ;   Matic, Vladimir ;   De Vos, Maarten ;   Naulaers, Gunnar ;   Cherian, Perumpillichira Joseph ;   Van Huffel, Sabine

Tags Biomedical signal classification

Visual recognition of neonatal seizures during continuous EEG monitoring in neonatal intensive care units (NICUs) is labor-intensive, has low...

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Improving Sleep/Wake Detection via Boundary Adaptation for Respiratory Spectral Features

Long, Xi ;   Haakma, Reinder ;   Rolink, Jerome ;   Fonseca, Pedro ;   Aarts, Ronald M.

Tags Biomedical signal classificationSignal processing in physiological systemsAdaptive filtering

In previous work, respiratory spectral features have been successfully used for sleep/wake detection. They are usually extracted from...

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Individual Finger Classification from Surface EMG: Influence of Electrode Set

Celadon, Nicolò ;   Dosen, Strahinja ;   Paleari, Marco ;   Farina, Dario ;   Ariano, Paolo

Tags Biomedical signal classificationPattern recognition methods for data mining in biosignals

The aim of this work was to minimize the number of channels, determining acceptable electrode locations and optimizing electrode-recording...

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Influence of Soft Tissue Artifacts of Mid-Thigh Skin Marker during Treadmill Running in Different Speeds

Zeitoune, Gabriel ;   Leporace, Gustavo ;   Metsavaht, Leonardo ;   Batista, Luiz Alberto ;   Nadal, Jurandir

Tags Biomedical signal classification

The present study aims measuring the influence of different running speeds in the mid-thigh marker’s trajectory error. Eight subjects...

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Interferogram-Based Breast Tumor Classification using Microwave-Induced Thermoacoustic Imaging

Nan, Hao ;   Haghi, Benyamin ;   Arbabian, Amin

Tags Biomedical signal classificationTime-frequency analysis of biosignalsBiomedical simulation involving signal processing

Microwave-induced thermoacoustic (TA) imaging combines the dielectric/conductivity contrast in the microwave range with the high resolution of...

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Intersession Adaptation of the EEG-Based Detector of Self-Paced Walking Intention in Stroke Patients

Sburlea, Andreea Ioana ;   Montesano, Luis ;   Minguez, Javier

Tags Biomedical signal classificationNonstationary processing of biomedical signalsClosed loop systems in physiological systems

Brain-computer interfaces (BCIs) have been used in patients with motor impairments as a rehabilitation tool, allowing the control of prosthetic...

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Intrapartum Fetal Heart Rate Classification from Trajectory in Sparse SVM Feature Space

Spilka, Jiri ;   Frecon, Jordan ;   Leonarduzzi, Roberto Fabio ;   Pustelnik, Nelly ;   Abry, Patrice ;   Doret, Muriel

Tags Biomedical signal classificationTime-scale and wavelets

Intrapartum fetal heart rate (FHR) constitutes a prominent source of information for the assessment of fetal reactions to stress events...

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Investigating Deep Learning for FNIRS based BCI

Hennrich, Johannes ;   Herff, Christian ;   Heger, Dominic ;   Schultz, Tanja

Tags Neural networks in biosignal processing and classificationBiomedical signal classification

Functional Near infrared Spectroscopy (fNIRS) is a relatively young modality for measuring brain activity which has recently shown promising...

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Investigating Effects of Different Artefact Types on Motor Imagery BCI

Frølich, Laura ;   Winkler, Irene ;   Müller, Klaus-Robert ;   Samek, Wojciech

Tags Biomedical signal classificationPattern recognition methods for data mining in biosignalsIndependent component analysis

Artefacts in recordings of the electroencephalogram (EEG) are a common problem in Brain-Computer Interfaces (BCIs). Artefacts make it...

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Investigation of Window Size in Classification of EEG-Emotion Signal with Wavelet Entropy and Support Vector Machine

Candra, Henry ;   Yuwono, Mitchell ;   Chai, Rifai ;   Handojoseno, Aluysius Maria Ardi ;   Elamvazuthi, Irraivan ;   Nguyen, Hung T. ;   Su, Steven Weidong

Tags Signal processing in physiological systemsBiomedical signal classificationTime-frequency analysis of biosignals

When dealing with patients with psychological or emotional symptoms, medical practitioners are often faced with the problem of objectively...

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Joint Collaborative Representation based Sleep Stage Classification with Multi-Channel EEG Signals

Liu, Xiao ;   Shi, Jun ;   Tu, Yiheng ;   Zhang, Zhiguo

Tags Biomedical signal classificationPattern recognition methods for data mining in biosignalsSignal processing in physiological systems

Multi-channel electroencephalography (EEG) signals have been effectively used for sleet staging. However, it is still a challenge to effectively...

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Knee Motion Pattern Classification from Trunk Muscle based Onsemg Signals

López Delis, Alberto ;   Delisle Rodriguez, Denis ;   Villa Parra, Ana Cecilia ;   Bastos, Teodiano

Tags Neural networks in biosignal processing and classificationBiomedical signal classificationTime-frequency analysis of biosignals

A prominent change is being carried out in the fields of rehabilitation and assistive exoskeletons in order to actively aid or restore legged...

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Large-Scale Physiological Waveform Retrieval via Locality-Sensitive Hashing

Kim, Yongwook Bryce ;   O'Reilly, Una-May

Tags Data mining in biosignalsPattern recognition methods for data mining in biosignalsBiomedical signal classification

We propose a fast, scalable locality-sensitive hashing method for the problem of retrieving similar physiological waveform time series. When...

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Large-Scale Prediction of Acute Hypotensive Episodes via Locality-Sensitive Hashing on Physiological Waveform Time Series

Kim, Yongwook Bryce ;   O'Reilly, Una-May

Tags Data mining in biosignalsPattern recognition methods for data mining in biosignalsBiomedical signal classification

We propose a fast, scalable locality-sensitive hashing method for the problem of predicting acute hypotensive episodes based on massive...

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Low-Complexity EEG-Based Eye Movement Classification using Extended Moving Difference Filter and Pulse Width Demodulation

Hsieh, Chi-Hsuan ;   Huang, Yuan-Hao

Tags Biomedical signal classification

This paper presents an eye movement classification algorithm for EEG-based brain-computer interface. The proposed system first used a...

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Machine Learning based Diagnosis of Schizophrenia using Combined Sensor-Level and Source-Level EEG Features

Shim, Miseon ;   Kim, Do-Won ;   Lee, Seung Hwan ;   Im, Chang-Hwan

Tags Biomedical signal classification

In this study, we used both sensor-level and source-level features extracted from EEG signals recorded during auditory oddball task for the...

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Model Selection for PCA-Linear SVM for Automated Detection of NS1 Molecule from Raman Spectra of Salivary Mixture

Mohd Radzol, Afaf Rozan ;   Lee, Khuan Y. ;   Mansor, Wahidah

Tags Neural networks in biosignal processing and classificationPrincipal component analysisBiomedical signal classification

Of recent, detection of Non-structural Protein 1 (NS1) in saliva has become appealing, as it may lead to a non-invasive detection method for...

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Motion Trajectory Analysis for Evaluating the Performance of Functional Upper Extremity Tasks in Daily Living: A Pilot Study

Li, Saiyi ;   Pathirana, Pubudu N. ;   Galea, Mary P.

Tags Biomedical simulation involving signal processingBiomedical signal classificationMarkov models in signal pattern classification

Since 1998, tele-rehabilitation has been extensively studied for its potential capacity of saving time and cost for both therapists and...

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Multi-Model based Classification of Schizophrenia Patients

Cetin, Mustafa S. ;   Houck, Jon M. ;   Vergara, Victor Manuel ;   Miller, Robyn ;   Calhoun, Vince

Tags Biomedical signal classificationConnectivity measurementsPattern recognition methods for data mining in biosignals

Schizophrenia is currently diagnosed by physicians through clinical assessment and their evaluation of patient’s self-reported experiences...

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Multiscale PCA to Distinguish Regular and Irregular Surfaces using Tri Axial Head and Trunk Acceleration Signals

Pendharkar, Gita ;   Naik, Ganesh R ;   Acharyya, Amit ;   Nguyen, Hung T.

Tags Principal component analysisBiomedical signal classificationBiomedical simulation involving signal processing

This study uses multiscale principal component analysis (MSPCA) signal processing technique in order to distinguish the two different surfaces,...

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Muscular Fatigue Detection using sEMG in Dynamic Contractions

R. Bueno, Diana ;   Lizano, José María ;   Montano Gella, Luis

Tags Biomedical signal classification

In this work we have studied different indicators of muscle fatigue from the electrical signal produced by the muscles when contract (sEMG...

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New Adaptive Algorithm to Determine Sleep Onset Latency

Choi, Soo Beom ;   Kim, Sung Woo ;   Chung, Jai Won ;   Park, Jee Soo ;   Noh, Hyung Wook ;   Kim, Deok Won

Tags Biomedical signal classificationTime-frequency analysis of biosignalsData mining in biosignals

Although actigraphy is used to detect sleep, it is inaccurate when determining sleep onset latency due to immobility during wakefulness. We...

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Non-Invasive Measurement of Blood Pressure – Why We Should Look at BP Traces Rather than Listen to Korotkoff Sounds

Celler, Branko George ;   Basilakis, Jim ;   Goozee, Kathryn ;   Ambikairajah, E

Tags Signal processing in physiological systemsSignals and systemsBiomedical signal classification

Accurate non-invasive measurement of blood pressure in unsupervised environments continues to be a challenge, particularly in the presence...

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On Optimal Electrode Configuration to Estimate Hand Movements from Forearm Surface ElectroMyoGraphy

Paleari, Marco ;   Michela, Di Girolamo ;   Celadon, Nicolò ;   Favetto, Alain ;   Ariano, Paolo

Tags Signal processing in physiological systemsNeural networks in biosignal processing and classificationBiomedical signal classification

Understanding the movement of the hand from sEMG signals acquired on the forearm is key in the development of future prosthetics of the...

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Online Control of a Humanoid Robot through Hand Movement Imagination using CSP and ECoG based Features

Kapeller, Christoph ;   Gergondet, Pierre ;   Kamada, Kyousuke ;   Ogawa, Hiroshi ;   Takeuchi, Fumiya ;   Ortner, Rupert ;   Prueckl, Robert ;   Kheddar, Abderrahmane ;   Scharinger, Josef ;   Guger, Christoph

Tags Biomedical signal classificationClosed loop systems in physiological systemsTime-frequency analysis of biosignals

Intention recognition through decoding brain activity could lead to a powerful and independent Brain-Computer-Interface (BCI) allowing for...

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Online Detection of Tonic-Clonic Seizures in Pediatric Patients using ECG and Low-Complexity Incremental Novelty Detection

De Cooman, Thomas ;   Van de Vel, Anouk ;   Ceulemans, Berten ;   Lagae, Lieven ;   Vanrumste, Bart ;   Van Huffel, Sabine

Tags Biomedical signal classificationSignals and systemsPrincipal component analysis

Home monitoring of refractory epilepsy patients has become of more interest the last couple of decades. A biomedical signal that can be used...

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Online EEG Artifact Rejection based on Automatic Dimensionality Reduction

Freitas, Lorena ;   Blankertz, Benjamin ;   Höhne, Johannes

Tags Nonstationary processing of biomedical signalsSignal processing in physiological systemsBiomedical signal classification

A method for real-time rejection of EEG artifacts is introduced. Results from artificially contaminated data show that the approach also...

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P300 Latency Jitter Occurrence in Patients with Disorders of Consciousness: Toward a Better Design for Brain Computer Interface Applications

Schettini, Francesca ;   Risetti, Monica ;   Arico, Pietro ;   Formisano, Rita ;   Babiloni, Fabio ;   Mattia, Donatella ;   Cincotti, Febo

Tags Biomedical signal classificationNonlinear filteringSignal processing in physiological systems

In this study the P300 latency jitter has been explored in an EEG data set collected from a group of patients with disorders of...

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Parametric Estimation of Sample Entropy for Physical Activity Recognition

Aktaruzzaman, Md ;   Scarabottolo, Nello ;   Sassi, Roberto

Tags Biomedical signal classification

Insufficient amount of physical activity, and hence storage of calories may lead depression, obesity, cardiovascular diseases, and diabetes. The...

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Patient Specific Parkinson's Disease Detection for Adaptive Deep Brain Stimulation

Mohammed, Ameer ;   Zamani, Majid ;   Bayford, Richard H. ;   Demosthenous, Andreas

Tags Biomedical signal classificationNeural networks in biosignal processing and classificationClosed loop systems in physiological systems

Continuous deep brain stimulation for Parkinson’s disease (PD) patients results in side effects and shortening of the pacemaker battery life....

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Physical Activity Group Classification Algorithm using Triaxial Acceleration and Heart Rate

Nakanishi, Motofumi ;   Izumi, Shintaro ;   Nagayoshi, Sho ;   Sato, Hironori ;   Kawaguchi, Hiroshi ;   Yoshimoto, Masahiko ;   Ando, Takafumi ;   Nakae, Satoshi ;   Usui, Chiyoko ;   Aoyama, Tomoko ;   Tanaka, Shigeho

Tags Biomedical signal classification

As described in this paper, a physical activity classification algorithm is proposed for energy expenditure estimation. The proposed algorithm...

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Potential use of Microsaccade in Personal Identification

Yoneya, Makoto ;   Furukawa, Shigeto ;   Kashino, Makio

Tags Data mining in biosignalsBiomedical signal classificationPattern recognition methods for data mining in biosignals

Microsaccades are small, jerk-like eye movements that occur unconsciously during fixation. Recent studies showed that there are individual...

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Prediction of Outcome in Traumatic Brain Injury Patients using Long-Term qEEG Features

Mikola, Annika ;   Ratsep, Indrek ;   Särkelä, Mika ;   Lipping, Tarmo

Tags Signal processing in physiological systemsBiomedical signal classification

Treatment of patients suffering from severe traumatic brain injury (TBI) commonly involves sedation and mechanical ventilation during...

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Prediction of Switching Time between Movement Preparation and Execution by Neural Activity in Monkey Premotor Cortex

Li, Hongbao ;   Liao, Yuxi ;   Wang, Yiwen ;   Zhang, Qiaosheng ;   Zhang, Shaomin ;   Zheng, Xiaoxiang

Tags Biomedical signal classificationNeural networks in biosignal processing and classification

Premotor cortex is a higher level cortex than primary motor cortex in movement controlling hierarchy, which contributes to the motor...

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Pronunciation Analysis for Children with Speech Sound Disorders

Dudy, Shiran ;   Asgari, Meysam ;   Kain, Alexander

Tags Biomedical signal classificationTime-frequency analysis of biosignalsSignal processing in physiological systems

Phonological disorders affect 10% of preschool and school-age children, adversely affecting their communication, academic performance, and...

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Psychobehavioral Validity of Self-Reported Symptoms based on Spontaneous Physical Activity

Kim, Jinhyuk ;   Nakamura, Toru ;   Kikuchi, Hiroe ;   Yamamoto, Yoshiharu

Tags Biomedical signal classificationData mining in biosignalsPattern recognition methods for data mining in biosignals

A limitation of self-reports is the presence of recall biases including retrospective distortions of the respondents’ experiences. To overcome...

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R-Principal Subspace for Driver Cognitive State Classification

Almahasneh, Hossam ;   Kamel, Nidal ;   Walter, Nicolas ;   Malik, Aamir Saeed

Tags Principal component analysisBiomedical signal classificationSignal processing in physiological systems

Using EEG signals, a novel technique for driver cognitive state assessment is presented, analyzed and experimentally verified. The proposed...

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Real-Time Motion Discrimination Considering Variation of EMG Signals Associated with Lapse of Time

Shiraki, Masashi ;   Tsujiuchi, Nobutaka ;   Ito, Akihito ;   Yamamoto, Tetsushi

Tags Biomedical signal classification

This study proposes a motion discrimination method that considers the variation of electromyogram (EMG) signals associated with a lapse of...

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Recognition and Regionalization of Emotions in the Arousal-Valence Plane

Bustamante, Paola Andrea ;   López, Natalia M ;   Perez Berenguer, Maria Elisa ;   Quintero Montoya, Olga Lucia

Tags Signal processing in physiological systemsSignals and systemsBiomedical signal classification

The emotion recognition systems have become important for the diversity of its applications. Several methodologies have been proposed based...

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Recognizing Emotions from EEG Subbands using Wavelet Analysis

Candra, Henry ;   Yuwono, Mitchell ;   Handojoseno, Aluysius Maria Ardi ;   Chai, Rifai ;   Su, Steven Weidong ;   Nguyen, Hung T.

Tags Signal processing in physiological systemsBiomedical signal classificationTime-scale and wavelets

Objectively recognizing emotions is a particularly important task to ensure that patients with emotional symptoms are given the appropriate...

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Recurrence Quantification Analysis Applied to Spatiotemporal Pattern Analysis in High-Density Mapping of Human Atrial Fibrillation

Zeemering, Stef ;   Bonizzi, Pietro ;   Maesen, Bart ;   Peeters, Ralf ;   Schotten, Ulrich

Tags Nonlinear dynamics in biomedical signalsPrincipal component analysisBiomedical signal classification

Spatiotemporal complexity of atrial fibrillation (AF) patterns is often quantified by annotated intracardiac contact mapping. We introduce a...

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Reliability Over Time of EEG-Based Mental Workload Evaluation during Air Traffic Management (ATM) Tasks

Arico, Pietro ;   Borghini, Gianluca ;   Di Flumeri, Gianluca ;   Colosimo, Alfredo ;   Graziani, Ilenia ;   Imbert, Jean-Paul ;   Granger, Geraud ;   Benhacene, Railane ;   Terenzi, Michela ;   Pozzi, Simone ;   Babiloni, Fabio

Tags Biomedical signal classificationBiomedical simulation involving signal processingTime-frequency analysis of biosignals

Machine-learning approaches for mental workload (MW) estimation by using the user brain activity went through a rapid expansion in the last...

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Reliability-Based Automatic Repeat Request for Short Code Modulation Visual Evoked Potentials in Brain Computer Interfaces

Sato, Jun-ichi ;   Washizawa, Yoshikazu

Tags Biomedical signal classificationPattern recognition methods for data mining in biosignals

Code modulation visual evoked potential brain computer interface (c-VEP BCI) has been researched widely. The accuracy of c-VEP is improved...

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Residuals of Autoregressive Model Providing Additional Information for Feature Extraction of Pattern Recognition-Based Myoelectric Control

Pan, Lizhi ;   Zhang, Dingguo ;   Sheng, Xinjun ;   Zhu, Xiangyang

Tags Biomedical signal classificationTime-frequency analysis of biosignals

Myoelectric control based on pattern recognition has been studied for several decades. Autoregressive (AR) features are one of the mostly...

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Resting State EEG-Based Biometrics for Individual Identification using Convolutional Neural Networks

Ma, Lan ;   Minett, James ;   Blu, Thierry ;   Wang, William S-Y

Tags Neural networks in biosignal processing and classificationBiomedical signal classification

Biometrics is a growing field, which permits identification of individuals by means of unique physical features. Electroencephalography...

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Retrieving the Hemodynamic Response Function in Resting State FMRI: Methodology and Application

Wu, Guorong ;   Deshpande, Gopikrishna ;   Laureys, Steven ;   Marinazzo, Daniele

Tags Signal processing in physiological systemsBiomedical signal classificationConnectivity measurements

In this paper we present a procedure to retrieve the hemodynamic response function (HRF) from resting state functional magnetic resonance...

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Robust Human Recognition using Heartbeat Feature

Bashar, Khayrul ;   Yoshida, Hiroaki

Tags Biomedical signal classificationSignals and systemsSignal processing in physiological systems

Towards the demand for efficient biometric systems, the liveliness of ECG has shown some promises. However, ECG features vary due to muscle...

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Semi-Supervised Segmentation of EEG Data in BCI Systems

Camilleri, Tracey ;   Camilleri, Kenneth Patrick ;   Fabri, Simon G.

Tags Parametric filtering and estimationBiomedical signal classification

This work investigates the use of a semi-supervised, autoregressive switching multiple model (AR-SMM) framework for the segmentation of EEG...

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Single Trial EEG Classification Applied to a Face Recognition Experiment using Different Feature Extraction Methods

Li, Yudu ;   Ma, Sen ;   Hu, Zhongze ;   Chen, Jiansheng ;   Su, Guangda ;   Dou, Weibei

Tags Biomedical signal classificationIndependent component analysisPrincipal component analysis

Research on brain machine interface (BMI) has been developed very fast in recent years. Numerous feature extraction methods have...

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Single-Trial Classification of Multi-User P300-Based Brain-Computer Interface using Riemannian Geometry

Korczowski, Louis ;   Jutten, Christian ;   Congedo, Marco

Tags Biomedical signal classificationCoherence in biomedical signal processingMultivariate signal processing

The classification of electroencephalographic (EEG) data recorded from multiple users simultaneously is an important challenge in the field of...

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Sleep Apnea Detection using Time-Delayed Heart Rate Variability

Nano, Marina-Marinela ;   Long, Xi ;   Werth, Jan ;   Aarts, Ronald M. ;   Heusdens, Richard

Tags Biomedical signal classificationSignal processing in physiological systemsData mining in biosignals

Sleep apnea is a sleep disorder distinguished by repetitive absence of breathing. Compared with the traditional expensive and cumbersome...

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Sleep Apnoea Episodes Recognition by a Committee of Elm Classifiers from ECG Signal

Sadr, Nadi ;   de Chazal, Philip ;   van Schaik, André ;   Breen, Paul

Tags Biomedical signal classificationMultivariate signal processingNeural networks in biosignal processing and classification

This paper represents a system for recognition of sleep apnoea episodes from ECG signal by using a committee of extreme learning machine...

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Sleep Spindle Detection using Deep Learning: A Validation Study based on Crowdsourcing

Tan, Dakun ;   Zhao, Rui ;   Sun, Jinbo ;   QIn, Wei

Tags Neural networks in biosignal processing and classificationBiomedical signal classification

Sleep spindles are significant transient oscillations observed on the electroencephalogram (EEG) in stage 2 of non-rapid eye movement sleep....

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Sleep Stage Classification based on Bioradiolocation Signals

Tataraidze, Alexander ;   Anishchenko, Lesya ;   Korostovtseva, Lyudmila ;   Kooij, Bert Jan ;   Bochkarev, Mikhail ;   Sviryaev, Yurii

Tags Biomedical signal classification

This paper presents an algorithm for the detection of wakeful state, rapid eye movement sleep (REM) and non-REM sleep detection based on...

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Sleep Stage Classification based on Respiratory Signal

Tataraidze, Alexander ;   Anishchenko, Lesya ;   Korostovtseva, Lyudmila ;   Kooij, Bert Jan ;   Bochkarev, Mikhail ;   Sviryaev, Yurii

Tags Biomedical signal classification

One of the research tasks, which should be solved to develop a sleep monitor, is sleep stages classification. This paper presents an algorithm...

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Sleep-Stage Scoring in Mice: The Influence of Data Pre-Processing on a System's Performance

Katsageorgiou, Vasiliki-Maria ;   Lassi, Glenda ;   Tucci, Valter ;   Murino, Vittorio ;   Sona, Diego

Tags Time-frequency analysis of biosignalsBiomedical signal classificationNeural networks in biosignal processing and classification

Sleep-stage analysis in mice and rats has received growing attention in recent years, due to the fact that mice display electrical activity...

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Smartwatch-Based Driver Alertness Monitoring with Wearable Motion and Physiological Sensor

Lee, Boon-Giin ;   Lee, Boon-Leng ;   Chung, Wan-Young

Tags Time-frequency analysis of biosignalsBiomedical signal classificationTime-scale and wavelets

Studies have shown that a high precision driver alertness monitoring system is an essential and a monetary countermeasure to reduce the...

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SMUAP Decomposition based on Sequentially-Modified Template Matching Method during Motion

Akazawa, Jun ;   Okuno, Ryuhei

Tags Independent component analysisBiomedical signal classification

The purpose of this study is to develop a method decomposing Surface Motor Unit Acton Potential (SMUAP) of biceps brachii short head muscle...

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SSVEP-Based BCI: A "Plug and Play" Approach

Mora, Niccolo' ;   De Munari, Ilaria ;   Ciampolini, Paolo

Tags Time-frequency analysis of biosignalsBiomedical signal classification

Brain-Computer Interface (BCI) can provide users with an alternative/augmentative interaction path, based on the interpretation of their...

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Sudden Cardiac Arrest Risk Stratification based on 24-hour Holter ECG Statistics

Kasahara, Keisuke ;   Shiobara, Masahito ;   Nakamura, Saya ;   Yamashiro, Koichiro ;   Yana, Kazuo ;   Ono, Takuya

Tags Biomedical signal classificationPrincipal component analysisSignal processing in physiological systems

This paper examined the feasibility to utilize indices obtained from a long term Holter ECG record for the sudden cardiac arrest (SCA) risk...

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Supervised Nonlinear Dimension Reduction of Functional Magnetic Resonance Imaging Data using Sliced Inverse Regression

Tu, Yiheng ;   Tan, Ao ;   Fu, Zening ;   Hung, Y.S. ;   Hu, Li ;   Zhang, Zhiguo

Tags Nonlinear analysis of biomedical signalsMultivariate signal processingBiomedical signal classification

Dimension reduction is essential for identifying a small set of discriminative features that are predictive of behavior or cognition from...

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Supervised Segmentation of Microelectrode Recording Artifacts using Power Spectral Density

Bakstein, Eduard ;   Schneider, Jakub ;   Sieger, Tomas ;   Novak, Daniel ;   Wild, Jiri ;   Jech, Robert

Tags Biomedical signal classificationTime-frequency analysis of biosignals

Appropriate detection of clean signal segments in extracellular microelectrode recordings (MER) is vital for maintaining high signal-to-noise...

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Support Vector Machines using EEG Features of Cross-Frequency Coupling Can Predict Treatment Outcome in Mecp2-Deficient Mice

Colic, Sinisa ;   Wither, Rob ;   Lang, Min ;   Zhang, Liang ;   Eubanks, James ;   Bardakjian, Berj Luther

Tags Biomedical signal classificationTime-frequency analysis of biosignalsEmpirical mode decomposition in biosignal analysis

Anti-convulsive drug treatments of epilepsy typically produce varied outcomes from one patient to the next, often necessitating patients to...

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SVM-Based Non-Intrusive Sleep Staging Method for OSA Patients

Joo, Kwangmin ;   Yoon, Heenam ;   Jung, Dawoon ;   Hwang, Suhwan ;   Choi, Sangho ;   Choi, Jaewon ;   Lee, Yujin ;   Jeong, Do-Un ;   Park, Kwang S.

Tags Neural networks in biosignal processing and classificationBiomedical signal classificationSignal processing in physiological systems

It is known that the sleep structure is related with sleep-related diseases, cardiovascular diseases, diabetes etc. Therefore the...

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Task Discrimination for Non-Weight-Bearing Movements using Muscle Synergies

Afzal, Taimoor ;   Iqbal, Kamran ;   White, Gannon ;   Wright, Andrew

Tags Biomedical signal classificationBlind source separation

Myoelectric control of lower limb prostheses requires discrimination of task-specific muscle patterns. In this paper we present a method based...

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Temporal and Kinematic Variables for Real-World Falls Harvested from Lumbar Sensors in the Elderly Population

Bourke, Alan ;   Klenk, Jochen ;   Schwickert, Lars ;   Aminian, Kamiar ;   Ihlen, Espen A F ;   Helbostad, Jorunn L ;   Chiari, Lorenzo ;   Becker, Clemens

Tags Signals and systemsBiomedical signal classificationData mining in biosignals

Automatic fall detection will reduce the consequences of falls in the elderly and promote independent living, ensuring people can confidently...

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Temporal Correction of Detected R-Peaks in ECG Signals: A Crucial Step to Improve QRS Detection Algorithms

Gradl, Stefan ;   Leutheuser, Heike ;   Elgendi, Mohamed ;   Lang, Nadine ;   Eskofier, Bjoern M

Tags Biomedical signal classificationSignal processing in physiological systems

In the last decade the interest for heart rate variability analysis has increased tremendously. Related algorithms depend on accurate...

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Temporal Fluctuation Analysis of Tremor Signal in Parkinson's Disease and Essential Tremor Subjects

Thanawattano, Chusak ;   Anan, Chanawat ;   Pongthornseri, Ronachai ;   Dumnin, Songphon ;   Bhidayasiri, Roongroj

Tags Signal processing in physiological systemsBiomedical signal classificationNonlinear analysis of biomedical signals

Tremor is a common symptom shared in both Parkinson’s disease (PD) and Essential tremor (ET) subjects. The differential diagnosis of PD and...

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Tensor based Tumor Tissue Type Differentiation using Magnetic Resonance Spectroscopic Imaging

Halandur Nagaraja, Bharath ;   Sima, Diana ;   Sauwen, Nicolas ;   Himmelreich, Uwe ;   De Lathauwer, Lieven ;   Van Huffel, Sabine

Tags Blind source separationBiomedical signal classification

Magnetic resonance spectroscopic imaging (MRSI) has the potential to characterise different tissue types in brain tumors. Blind source...

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Tensor-Based Detection of T Wave Alternans using ECG

Goovaerts, Griet ;   Vandenberk, Bert ;   Willems, Rik ;   Van Huffel, Sabine

Tags Biomedical signal classification

T wave alternans is defined as changes in the T wave amplitude in an ABABAB-pattern in T wave amplitude. It can be found in ECG signals of...

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The Diurnal Changes in the QT and RR Intervals for Type II Diabetes Correlate with Total Cholesterol and Triacylglyceride

Masuda, Yuta ;   Yana, Kazuo ;   Ono, Takuya

Tags Signal processing in physiological systemsBiomedical signal classificationSignals and systems

This study shows the evidence that diurnal amplitude of QT and RR intervals as well as QT-RR co-variability significantly correlates with Total...

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The Portable P300 Dialing System based on Tablet and Emotiv Epoc Headset

Tong, Jijun ;   Zhang, Peng ;   Xiao, Ran ;   Ding, Lei

Tags Biomedical signal classificationData mining in biosignalsEmpirical mode decomposition in biosignal analysis

Brain-computer interface (BCI) is a novel communication system that translates brain signals into a control signal. Now with the appearance of...

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The Respiration Pattern as an Indicator of the Anaerobic Threshold

Mirmohamadsadeghi, Leila ;   Vesin, Jean-Marc ;   Lemay, Mathieu ;   Dériaz, Olivier

Tags Biomedical signal classificationSignal processing in physiological systems

The anaerobic threshold (AT) is a good index of personal endurance but needs a laboratory setting to be determined. It is important to...

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Time-Dependent Sleep Stage Transition Model based on Heart Rate Variability

Takeda, Toki ;   Mizuno, Osamu ;   Tanaka, Tomohiro

Tags Data mining in biosignalsBiomedical signal classificationSignal processing in physiological systems

A new model is proposed to automatically classify sleep stages using heart rate variability (HRV). The generative model, based on the...

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Timed Up-and-Go Phase Segmentation in Parkinson's Disease Patients using Unobtrusive Inertial Sensors

Reinfelder, Samuel ;   Hauer, Roland ;   Barth, Jens ;   Klucken, Jochen ;   Eskofier, Bjoern M

Tags Biomedical signal classificationSignal processing in physiological systemsData mining in biosignals

A widely accepted functional motor test for measuring basic mobility capabilities is the ‘Timed Up-and-Go’ (TUG) test. Although several basic...

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Toward Lightweight Biometric Signal Processing for Wearable Devices

Francescon, Roberto ;   Hooshmand, Mohsen ;   Gadaleta, Matteo ;   Grisan, Enrico ;   Yoon, Seung Keun ;   Rossi, Michele

Tags Nonstationary processing of biomedical signalsBiomedical signal classificationSignals and systems

Wearable devices are becoming a natural and economic means to gather biometric data from end users. The massive amount of information that...

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Towards Fully Automated Closed-Loop Deep Brain Stimulation in Parkinson's Disease Patients: A LAMSTAR-Based Tremor Predictor

Khobragade, Nivedita ;   Tuninetti, Daniela ;   Graupe, Daniel

Tags Neural networks in biosignal processing and classificationBiomedical signal classificationSignal processing in physiological systems

This paper describes the application of the LAMSTAR (LArge Memory STorage and Retrieval) neural network for prediction of onset of tremor...

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Towards Increasing the Number of Commands in a Hybrid Brain-Computer Interface with Combination of Gaze and Motor Imagery

Meena, Yogesh Kumar ;   Cecotti, Hubert ;   Wong-Lin, KongFatt ;   Prasad, Girijesh

Tags Biomedical signal classificationSignal processing in physiological systemsTime-frequency analysis of biosignals

Non-invasive brain-computer interface (BCI) provides a novel means of communication. This can be achieved by measuring electroencephalogram...

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Tsallis Entropy as a Biomarker for Detection of Alzheimer's Disease

Al-nuaimi, Ali H. ;   Jammeh, Emmanuel ;   Sun, Lingfen ;   Ifeachor, Emmanuel

Tags Nonlinear analysis of biomedical signalsBiomedical signal classification

Alzheimer’s disease (AD) and other forms of dementia are one of the major public health and social challenges of our time because of the...

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Uncovering Statistical Features of Bradycardia Severity in Premature Infants using a Point Process Model

Gee, Alan ;   Barbieri, Riccardo ;   Paydarfar, David ;   Indic, Premananda

Tags Signal processing in physiological systemsBiomedical signal classification

Premature infants are susceptible to a variety of life-threatening events. Underdeveloped cardiovascular control due to an immature...

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Upper-Limb Movement Classification based on Semg Signal Validation with Continuous Channel Selection

Cene, Vinicius H. ;   Favieiro, Gabriela Winkler ;   Balbinot, Alexandre

Tags Signal processing in physiological systemsBiomedical signal classificationSignals and systems

This paper aims to provide an efficient, automatic and auto-adaptive approach to stablish a continuous electromyography (EMG) signal...

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Using Robust Principal Component Analysis to Alleviate Day-to-Day Variability in EEG based Emotion Classification

Jao, Ping-Keng ;   Lin, Yuan-Pin ;   Yang, Yi-Hsuan ;   Jung, Tzyy-Ping

Tags Biomedical signal classificationPattern recognition methods for data mining in biosignalsPrincipal component analysis

An emerging challenge for emotion classification using electroencephalography (EEG) is how to effectively alleviate day-to-day variability in...

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Using Wearable Sensors for Semiology-Independent Seizure Detection – Towards Ambulatory Monitoring of Epilepsy

Heldberg, Beeke E ;   Kautz, Thomas ;   Leutheuser, Heike ;   Hopfengärtner, Rüdiger ;   Kasper, Burkhard ;   Eskofier, Bjoern M

Tags Biomedical signal classificationPattern recognition methods for data mining in biosignalsMultivariate signal processing

Epilepsy is a disease of the central nervous system. Nearly 70% of people with epilepsy respond to a proper treatment, but for a successful...

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Uterine Activity Monitoring by Electrohysterogram Recurrence Plot Analysis

Hurezeanu, Bogdan ;   Taralunga, Dragos-Daniel ;   Strungaru, Rodica ;   Ungureanu, G. Mihaela

Tags Nonlinear analysis of biomedical signalsSignal processing in physiological systemsBiomedical signal classification

The article proposes the recurrence plot analysis to detect high-risk pregnancies using electrohysterographic signals. The computed proposed...

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Ventricular Ectopic Beats Classification using Sparse Representation and Gini Index

Baali, Hamza ;   Mesbah, Mostefa

Tags Biomedical signal classificationSignal processing in physiological systems

In this study, we consider using sparse representation and the Gini Index (GI) for Arrhythmia classification. Our approach involves, first,...

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Volume Conduction Effects on Bivariate Lempel-Ziv Complexity of Alzheimer's Disease Electroencephalograms

Simons, Samantha ;   Abasolo, Daniel ;   Sauseng, Paul

Tags Nonlinear analysis of biomedical signalsBiomedical signal classification

The spurious increase in coherence of electroencephalogram (EEG) signals between distant electrode points has long been understood to be...

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Wavelet-Based Motion Artifact Removal for Electrodermal Activity

Chen, Weixuan ;   Jaques, Natasha ;   Taylor, Sara ;   Sano, Akane ;   Fedor, Szymon ;   Picard, Rosalind

Tags Time-scale and waveletsSignal processing in physiological systemsBiomedical signal classification

Electrodermal activity (EDA) recording is a powerful, widely used tool for monitoring psychological or physiological arousal. However, analysis of...

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