Characterizing the Dynamics of Surface Electromyography Signals in Muscle Fatigue Through Visibility Motif Networks
Author:
Affiliation:
1. Boston Children's Hospital and Harvard Medical School, Boston, MA, USA
2. Indian Institute of Technology Madras, Chennai, India
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Instrumentation
Link
http://xplorestaging.ieee.org/ielx7/7782634/10049298/10023965.pdf?arnumber=10023965
Reference7 articles.
1. Analysis of Dynamics of EMG Signal Variations in Fatiguing Contractions of Muscles Using Transition Network Approach
2. Analysis of biceps brachii sEMG signal using Multiscale Fuzzy Approximate Entropy
3. Surface electromyography based muscle fatigue detection using high-resolution time-frequency methods and machine learning algorithms
4. Characterization of surface electromyography signals of biceps brachii muscle in fatigue using symbolic motif features
5. Analysis of sequential visibility motifs in isometric surface electromyography signals in fatiguing condition;navaneethakrishna;Proc 40th Annu Int Conf IEEE Eng Med Biol Soc,2018
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