Analysis of Progression of Fatigue Conditions in Biceps Brachii Muscles Using Surface Electromyography Signals and Complexity Based Features

Periyamolapalayam Allimuthu, Karthick ;   Makaram, Navaneethakrishna ;   Ramakrishnan, Swaminathan

Tags Nonstationary processing of biomedical signalsSignal processing in physiological systemsNonlinear analysis of biomedical signals

Muscle fatigue is a neuromuscular condition where muscle performance decreases due to sustained or intense contraction. It is experienced by...

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Assessing Instantaneous Energy in the EEG: A Non-Negative, Frequency-Weighted Energy Operator

O'Toole, John M. ;   Temko, Andriy ;   Stevenson, Nathan

Tags Nonlinear analysis of biomedical signalsSignal processing in physiological systemsSignals and systems

Signal processing measures of instantaneous energy typically include only amplitude information. But measures that include both amplitude and...

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Comparison Study of Seizure Detection Using Stationary and Nonstationary Methods

Li, Ying ;   Hsin, Yue-Loong ;   Liu, Wentai

Tags Nonstationary processing of biomedical signalsBiomedical signal classificationEmpirical mode decomposition in biosignal analysis

We present an accurate seizure detection algorithm, and make a detailed comparison of two frequency analysis methods: a widely used...

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Cross-Correlation Based µECoG Waveform Tracking

Schubert, Thomas ;   Trumpis, Michael ;   Rivilis, Nicole ;   Viventi, Jonathan

Tags Nonlinear dynamics in biomedical signalsNonlinear analysis of biomedical signals

Clinical electrodes for epileptic seizure monitoring traditionally require a tradeoff between coverage area and spatial resolution. However, with...

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Dynamic Tension EMG to Characterize the Effects of DBS Treatment of Advanced Parkinson's Disease

Ruonala, Verneri Matias ;   Pekkonen, Eero ;   Rissanen, Saara Mirjami ;   Airaksinen, Veikko Olavi Pietari ;   Miroshnichenko, German ;   Kankaanpää, Markku Juhani ;   Karjalainen, Pasi, A

Tags Nonlinear analysis of biomedical signalsSignal processing in physiological systems

Deep brain stimulation (DBS) can be an effective treatment method for motor symptoms of patients with advanced Parkinson's disease....

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Exploring Embedding Matrices and the Entropy Gradient for the Segmentation of Heart Sounds in Real Noisy Environments

Oliveira, Jorge ;   Castro, Ana ;   Coimbra, Miguel

Tags Deterministic chaos in biomedical signal analysisTime-scale and waveletsNonlinear analysis of biomedical signals

In this paper we explore a novel feature for the segmentation of heart sounds: the entropy gradient. We are motivated by the fact that...

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Identification of Ankle Joint Stiffness from Short Segments of Data: Application to Passive Dynamics During Movement

Jalaleddini, Kian ;   Kearney, Robert Edward

Tags Parametric filtering and estimationSignals and systemsSignal processing in physiological systems

This paper presents a state-space (subspace) method for identification of parallel-cascade joint stiffness from short segments of data. It...

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Motion Artifact Reduction in PPG Signals from Face : Face Tracking & Stochastic State Space Modeling Approach

Chankyu, Park ;   Choi, Ho-Jin

Tags Nonstationary processing of biomedical signals

The Photoplethymography(PPG) is generally measured on a finger or an ear using contact sensors. The recent several studies using...

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Muscle Artifacts in Single Trial EEG Data Distinguish Patients with Parkinson's Disease from Healthy Individuals

Weyhenmeyer, Jonathan ;   Hernandez, Manuel ;   Lainscsek, Claudia ;   Sejnowski, Terrence J. ;   Poizner, Howard

Tags Nonlinear analysis of biomedical signals

Parkinson's disease (PD) is known to lead to marked alterations in cortical-basal ganglia activity that may be amenable to serve as a...

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Non-Linear HRV Indices under Autonomic Nervous System Blockade

Bolea, Juan ;   Pueyo, Esther ;   Laguna, Pablo ;   Bailon, Raquel

Tags Nonlinear analysis of biomedical signals

Heart rate variability (HRV) has been studied as a non-invasive technique to characterize the autonomic nervous system (ANS) regulation of...

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Novel Feature Extraction Method Based on Weight Difference of Weighted Network for Epileptic Seizure Detection

Wang, Fenglin ;   Meng, Qingfang

Tags Nonlinear analysis of biomedical signalsNonlinear dynamics in biomedical signalsBiomedical signal classification

The extraction method of classification feature is primary and core problem in all epileptic EEG detection algorithms, since it can seriously...

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Surface EMG Parameters in Schizophrenia Patients

Miroshnichenko, German ;   Kuzmina, Anna ;   Meigal, Alexander ;   Burkin, Mark ;   Rissanen, Saara Mirjami ;   Karjalainen, Pasi, A

Tags Nonlinear analysis of biomedical signalsNonlinear dynamics in biomedical signals

The aim of the study was to compare a variety of surface EMG (sEMG) parameters in several groups of schizophrenia (SZ, n=69) patients and...

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The Mixing Rate of the Arterial Blood Pressure Waveform Markov Chain Is Correlated with Shock Index During Hemorrhage in Anesthetized Swine

Adibuzzaman, Mohammad ;   Kramer, George ;   Galeotti, Loriano ;   Merrill, Stephen ;   Strauss, David ;   Scully, Christopher G.

Tags Nonlinear dynamics in biomedical signalsMarkov models in signal pattern classificationSignal processing in physiological systems

Identifying the need for interventions during hemorrhage is complicated due to physiological compensation mechanisms that can stabilize vital...

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