Literature DB >> 28269457

Estimation of muscle fatigue by ratio of mean frequency to average rectified value from surface electromyography.

Jeffry Bonar Fernando, Mototaka Yoshioka, Jun Ozawa.   

Abstract

A new method to estimate muscle fatigue quantitatively from surface electromyography (EMG) is proposed. The ratio of mean frequency (MNF) to average rectified value (ARV) is used as the index of muscle fatigue, and muscle fatigue is detected when MNF/ARV falls below a pre-determined or pre-calculated baseline. MNF/ARV gives larger distinction between fatigued muscle and non-fatigued muscle. Experiment results show the effectiveness of our method in estimating muscle fatigue more correctly compared to conventional methods. An early evaluation based on the initial value of MNF/ARV and the subjective time when the subjects start feeling the fatigue also indicates the possibility of calculating baseline from the initial value of MNF/ARV.

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Year:  2016        PMID: 28269457     DOI: 10.1109/EMBC.2016.7591924

Source DB:  PubMed          Journal:  Conf Proc IEEE Eng Med Biol Soc        ISSN: 1557-170X


  1 in total

1.  Proposed Fatigue Index for the Objective Detection of Muscle Fatigue Using Surface Electromyography and a Double-Step Binary Classifier.

Authors:  Hassan M Qassim; Wan Zuha Wan Hasan; Hafiz R Ramli; Hazreen Haizi Harith; Liyana Najwa Inche Mat; Luthffi Idzhar Ismail
Journal:  Sensors (Basel)       Date:  2022-02-28       Impact factor: 3.576

  1 in total

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