Variational mode decomposition based differentiation of fatigue conditions in muscles using surface electromyography signals-Reference-Cited by-同舟云学术

Variational mode decomposition based differentiation of fatigue conditions in muscles using surface electromyography signals

Published:2020-12 Issue:10 Volume:14 Page:745-753
ISSN:1751-9675
Container-title:IET Signal Processing
language:en
Short-container-title:IET signal process.

Author:

Krishnamani Divya Bharathi¹,P.A. Karthick²,Swaminathan Ramakrishnan¹

Affiliation:

1. Non‐Invasive Imaging and Diagnostics Laboratory, Biomedical Engineering Group, Department of Applied MechanicsIndian Institute of Technology MadrasChennaiIndia

2. Physiological Measurements and Instrumentation Laboratory, Department of Instrumentation and Control EngineeringNational Institute of Technology TiruchirappalliTiruchirappalliIndia

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering,Signal Processing

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/iet-spr.2020.0315

Reference38 articles.

1. Extraction and analysis of multiple time window features associated with muscle fatigue conditions using sEMG signals;Venugopal G.;Expert Syst. Appl.,2014

2. EMG feature evaluation for improving myoelectric pattern recognition robustness;Phinyomark A.;Expert Syst. Appl.,2013

3. Surface Electromyography : Physiology, Engineering, and Applications

4. Muscle fatigue: what, why and how it influences muscle function;Enoka R.M.;J. Physiol.,2008

5. Surface EMG and muscle fatigue: multi‐channel approaches to the study of myoelectric manifestations of muscle fatigue;Marco G.;Physiol. Meas.,2017

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