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 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 Dynamic EMG-Torque Model of Elbow based on Neural Networks

Peng, Liang ;   Hou, Zeng-Guang ;   Wang, Weiqun

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

In this paper, a dynamic EMG-torque model of the elbow joint is developed based on ANN, and two novel test methods are proposed to validate...

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A Flexible Spatio-Temporal Filter for Biomedical Multichannel Data Denoising

Nuanprasert, Somchai ;   Adachi, Yoshiaki ;   Suzuki, Takashi

Tags Multivariate signal processing

In this paper, we present the noise reduction method for a multichannel measurement system where the true underlying signal is spatially...

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A New Connectivity Toolbox to Infer Topological Features of In-Vitro Neural Networks

Pastore, Vito Paolo ;   Poli, Daniele ;   Martinoia, Sergio ;   Massobrio, Paolo

Tags Neural networks in biosignal processing and classificationPartial and total coherenceConnectivity measurements

A detailed analysis of functional connectivity of in vitro neural networks, as well as the possibility to understand the interplay between...

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A Novel Technique to Investigate the Effect of Ageing on Ventricular Repolarization Characteristics in Healthy and LQTS Subjects

Imam, Hasan ;   Karmakar, Chandan ;   Palaniswami, Marimuthu ;   Khandoker, Ahsan Habib

Tags Multivariate signal processingSignal processing in physiological systems

Ventricular repolarization(VR) characteristics is affected by ageing alongside several other factors like Heart rate(HR),respiration,...

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An Evaluation of EEG Ocular Artifact Removal with a Multi-Channel Wiener Filter based on Probabilistic Generative Model

Maki, Hayato ;   Toda, Tomoki ;   Sakriani, Sakti ;   Graham, Neubig ;   Satoshi, Nakamura

Tags Multivariate signal processingNonlinear filteringBlind source separation

Data contamination by ocular artifacts such as eye blinks and eye movements is a major barrier that must be overcome when attempting to...

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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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Automatic Artifact Suppression in Simultaneous TDCS-EEG using Adaptive Filtering

Mancini, Matteo ;   Pellicciari, Maria Concetta ;   Brignani, Debora ;   Mauri, Piercarlo ;   De Marchis, Cristiano ;   Miniussi, Carlo ;   Conforto, Silvia

Tags Adaptive filteringNonlinear filteringSignals and systems

Transcranial direct current stimulation (tDCS) is a non-invasive brain stimulation method that can be used in cognitive and clinical protocols...

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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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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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CAP Waveform Estimation from the Measured Electrical Bioimpedance Values: Patient's Heart Rate Variability Analysis

Krivoshei, Andrei ;   Uuetoa, Hasso ;   Min, Mart ;   Annus, Paul ;   Uuetoa, Tiina ;   Lamp, Jürgen

Tags Multivariate signal processingPrincipal component analysisData mining in biosignals

The paper presents analysis of the generic transfer function (TF) between Electrical Bioimpedance (EBI) measured non-invasively on the wrist...

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Cluster-Span Threshold: An Unbiased Threshold for Binarising Weighted Complete Networks in Functional Connectivity Analysis

Smith, Keith ;   Azami, Hamed ;   Parra, Mario A ;   Starr, John ;   Escudero, Javier

Tags Connectivity measurementsNonlinear coupling of biomedical signals

We propose a new unbiased threshold, named the Cluster-Span Threshold (CST), for network analysis. This is based on the clustering...

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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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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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Effects of Contralateral Acoustic Stimulation on Otoacoustic Emissions Induced by Swept Tones

Chen, Shixiong ;   Jin, Yanbing ;   Xu, Lisheng ;   Li, Guanglin

Tags Adaptive filteringTime-frequency analysis of biosignalsNonlinear analysis of biomedical signals

The medial olivocochlear complex (MOC) is an auditory nucleus that projects efferent nerve fibers to control the behaviors of both sides of...

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Eliminating Pulse-Induced Artifacts in Urethral Pressure Data

Klünder, Mario ;   Feuer, Ronny ;   Amend, Bastian ;   Kelp, Alexandra ;   Stenzl, Arnulf ;   Sievert, Karl-Dietrich ;   Sawodny, Oliver ;   Ederer, Michael

Tags Multivariate signal processingPrincipal component analysis

Urethral Pressure Profilometry (UPP) is a tool in the diagnosis of urinary incontinence. The pressure profile along the urethra is measured...

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Heart Rate Estimation from Facial Photoplethysmography during Dynamic Illuminance Changes

Lee, Dongseok ;   Kim, Jeehoon ;   Kwon, Sungjun ;   Park, Kwang S.

Tags Parametric filtering and estimation

Camera-based remote photoplethysmography (rPPG) enables low-cost, non-contact cardiovascular activity monitoring. However, applying rPPG to...

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Influence of the Occlusion Effect Over the Prediction-Error Feedback Cancellation System in Hearing Aids

Coelho Borges, Renata ;   Holsbach Costa, Márcio

Tags Adaptive filteringBiomedical simulation involving signal processingSignals and systems

This work presents a theoretical analysis of the prediction-error method-based adaptive feedback canceller in hearing aid applications. The...

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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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Measuring Cervical Vertebra Movements using Kinect Sensor

Ma, Xiaolong ;   Xu, Guanghua ;   Li, Min ;   Xie, Jun ;   Chen, longting ;   Pei, Wei

Tags Multivariate signal processingBiomedical simulation involving signal processing

The incidence of cervical vertebra spondylosis is increasing with the pace of life while there is no high-efficient measurement method. This...

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Model based Filtering for Artifact and Noise Suppression with State Estimation for Electrodermal Activity Measurements in Real Time

Tronstad, Christian ;   Staal, Odd Martin ;   Sælid, Steinar ;   Martinsen, Ørjan G

Tags Kalman filteringSignal processing in physiological systemsNonlinear analysis of biomedical signals

Measurement of electrodermal activity (EDA) has recently made a transition from the laboratory into real life with the emergence of wearable...

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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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Mortality Prediction in Septic Shock Patients: Towards New Personalized Models in Critical Care

Carrara, Marta ;   Baselli, Giuseppe ;   Ferrario, Manuela

Tags Multivariate signal processingSignal processing in physiological systemsData mining in biosignals

We studied the problem of mortality prediction in 23 septic shock patients selected from the public database MIMIC-II. For each patient we...

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Orientation and Depth Estimation for Femoral Components using Image Sensor, Magnetometer and Inertial Sensors in THR Surgeries

Gao, Jiyang ;   Su, Shaojie ;   Chen, Hong ;   Wang, Zhihua

Tags Kalman filteringBiomedical simulation involving signal processingSignals and systems

Malposition of the acetabular and femoral component has long been recognized as an important cause of dislocation after total hip...

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Reconstruction of Signal in Plastic Scintillator of PET using Tikhonov Regularization

Raczynski, Lech

Tags Multivariate signal processingPrincipal component analysisAdaptive filtering

The new concept of Time of Flight Positron Emission Tomography (TOF-PET) detection system, which allows for single bed imaging of the whole...

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Residual Analysis of Ground Reaction Forces Simulation during Gait using Neural Networks with Different Configurations

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

Tags Data mining in biosignalsNeural networks in biosignal processing and classificationBiomedical simulation involving signal processing

The aim of the study was to analyze and compare the residuals obtained from ground reaction force (GRF) models developed using two...

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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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Robust Driver Heartbeat Estimation: A Q-Hurst Exponent based Automatic Sensor Change with Interactive Multi-Model EKF

Vrazic, Sacha

Tags Parametric filtering and estimationSignals and systemsKalman filtering

Preventing car accidents by monitoring the driver’s physiological parameters is of high importance. However, existing measurement methods are...

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Searching Arousals: A Fuzzy Logic Approach

Chaparro-Vargas, Ramiro ;   Ahmed, Beena ;   Penzel, Thomas ;   Cvetkovic, Dean

Tags Fuzzy approaches to signal pattern classificationSignal processing in physiological systemsTime-frequency analysis of biosignals

This paper presents a computational approach to detect spontaneous, chin tension and limb movement-related arousals by estimating neuronal...

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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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The Choice of the Source Space and the Laplacian Matrix in LORETA and the Spatio-Temporal Kalman Filter EEG Inverse Methods

Habboush, Nawar ;   Hamid, Laith ;   Japaridze, Natia ;   Wiegand, Gert ;   Heute, Ulrich ;   Stephani, Ulrich ;   Galka, Andreas ;   Siniatchkin, Michael

Tags Kalman filteringParametric filtering and estimationSignal processing in physiological systems

The discretization of the brain and the definition of the Laplacian matrix influence the results of methods based on spatial and...

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The Performance of the Spatiotemporal Kalman Filter and LORETA in Seizure Onset Localization

Hamid, Laith ;   Sarabi, Masoud ;   Japaridze, Natia ;   Wiegand, Gert ;   Heute, Ulrich ;   Stephani, Ulrich ;   Galka, Andreas ;   Siniatchkin, Michael

Tags Kalman filteringParametric filtering and estimationSignal processing in physiological systems

The assumption of spatial-smoothness is often used to solve the bioelectric inverse problem during electroencephalographic (EEG) source...

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The Segmented-Beat Modulation Method for ECG Estimation

Agostinelli, Angela ;   Giuliani, Corrado ;   Fioretti, Sandro ;   Di Nardo, Francesco ;   Burattini, Laura

Tags Nonlinear filteringAdaptive filteringSignal processing in physiological systems

Electrocardiographic (ECG) tracings corrupted by noise with frequency components in the ECG frequency band, may result useless unless...

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