Literature DB >> 12665043

Fatigue analysis of the surface EMG signal in isometric constant force contractions using the averaged instantaneous frequency.

A Georgakis1, L K Stergioulas, G Giakas.   

Abstract

The averaged instantaneous frequency (AIF) is proposed as an alternative method for the frequency analysis of surface electromyography (EMG) in the study of muscle fatigue during sustained, isometric muscle contractions. Results from performance analysis using experimental EMG signals demonstrate the low variability of the proposed frequency variable. Indeed, the AIF measure is shown to perform significantly better than the widely used mean and median frequency variables, in terms of robustness to the length of the analysis window.

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Year:  2003        PMID: 12665043     DOI: 10.1109/TBME.2002.807641

Source DB:  PubMed          Journal:  IEEE Trans Biomed Eng        ISSN: 0018-9294            Impact factor:   4.538


  11 in total

1.  Classification of surface EMG signals using optimal wavelet packet method based on Davies-Bouldin criterion.

Authors:  Gang Wang; Zhizhong Wang; Weiting Chen; Jun Zhuang
Journal:  Med Biol Eng Comput       Date:  2006-09-02       Impact factor: 2.602

2.  Characterization of surface EMG signals using improved approximate entropy.

Authors:  Wei-ting Chen; Zhi-zhong Wang; Xiao-mei Ren
Journal:  J Zhejiang Univ Sci B       Date:  2006-10       Impact factor: 3.066

3.  Classification of surface electromyographic signals by means of multifractal singularity spectrum.

Authors:  Gang Wang; Doutian Ren
Journal:  Med Biol Eng Comput       Date:  2012-11-07       Impact factor: 2.602

4.  Direct Effect of Local Cryotherapy on Muscle Stimulation, Pain and Strength in Male Office Workers with Lateral Epicondylitis, Non-Randomized Clinical Trial Study.

Authors:  Aleksandra Radecka; Anna Lubkowska
Journal:  Healthcare (Basel)       Date:  2022-05-10

5.  An autonomous wearable system for predicting and detecting localised muscle fatigue.

Authors:  Mohamed R Al-Mulla; Francisco Sepulveda; Martin Colley
Journal:  Sensors (Basel)       Date:  2011-01-27       Impact factor: 3.576

Review 6.  A review of non-invasive techniques to detect and predict localised muscle fatigue.

Authors:  Mohamed R Al-Mulla; Francisco Sepulveda; Martin Colley
Journal:  Sensors (Basel)       Date:  2011-03-24       Impact factor: 3.576

7.  The analysis of surface EMG signals with the wavelet-based correlation dimension method.

Authors:  Gang Wang; Yanyan Zhang; Jue Wang
Journal:  Comput Math Methods Med       Date:  2014-04-27       Impact factor: 2.238

8.  Computerised analysis of facial emotion expression in eating disorders.

Authors:  Jenni Leppanen; Marcela Marin Dapelo; Helen Davies; Katie Lang; Janet Treasure; Kate Tchanturia
Journal:  PLoS One       Date:  2017-06-02       Impact factor: 3.240

Review 9.  EMG Processing Based Measures of Fatigue Assessment during Manual Lifting.

Authors:  E F Shair; S A Ahmad; M H Marhaban; S B Mohd Tamrin; A R Abdullah
Journal:  Biomed Res Int       Date:  2017-02-19       Impact factor: 3.411

10.  Generating the Visual Biofeedback Signals Applicable to Reduction of Wrist Spasticity: A Pilot Study on Stroke Patients.

Authors:  Afsane Zadnia; Hamid Reza Kobravi; Mania Sheikh; Hossein Asghar Hosseini
Journal:  Basic Clin Neurosci       Date:  2018 Jan-Feb
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