Age-Sensitive High Density Surface Electromyogram Indices for Detecting Muscle Fatigue Using Core Shape Modelling-Reference-Cited by-同舟云学术

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Age-Sensitive High Density Surface Electromyogram Indices for Detecting Muscle Fatigue Using Core Shape Modelling

Published:2022 Issue: Volume: Page:
ISSN:1556-5068
Container-title:SSRN Electronic Journal
language:en
Short-container-title:SSRN Journal

Author:

Jiang Ning,Krishnan Bharath,Zanelli Serena,Boudaoud Sofiane,Scapucciati Léa,McPhee John

Publisher

Elsevier BV

Subject

General Earth and Planetary Sciences,General Environmental Science

Reference45 articles.

1. Investigation of the HD-sEMG probability density function shapes with varying muscle force using data fusion and shape descriptors;Al Harrach;Comput. in Biol. & Med,2017

2. Evaluation of muscle force classification using shape analysis of the sEMG probability density function: a simulation study;F S Ayachi;Med Biol Eng Comput,2014

3. A review of non-invasive techniques to detect and predict localised muscle fatigue;M R Al-Mulla;Sensors,2011

4. Evaluation of central and peripheral fatigue in the quadriceps using fractal dimension and conduction velocity in young females;M Beretta-Piccoli;PloS One,2015

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