Literature DB >> 20719689

Surface EMG as a fatigue indicator during FES-induced isometric muscle contractions.

N C Chesler1, W K Durfee.   

Abstract

The electromyogram (EMG) signal has potential as an indicator of stimulated muscle fatigue in applications of functional electrical stimulation (FES). In particular, it could be used to detect near lower limb collapse due to the associated muscle fatigue in FES-aided standing systems and thereby prevent falling. Surface EMG measurement, however, is hampered by stimulation artifact during FES. Modified surface stimulation and EMG detection equipment were designed and built to minimize this artifact and to permit detection of the electrical signal generated by the muscle during contraction. Artifact reduction techniques included shorting stimulator output leads between stimulus pulses and limiting and blanking slew rate in the EMG processing stage. Isometric fatigue experiments were performed by stimulating the quadriceps muscle of 20 able-bodied (a total of 125 trials) and three spinal cord injured (18 trials) subjects. Fatigue-tracking performance indicators were derived from the root-mean-square (RMS) of the EMG amplitude and from the median frequency (MF) of the EMG power spectral content. The results demonstrate that reliable fatigue tracking indicators for practical FES applications will be difficult to obtain, but that amplitude-based measures in spinal cord injured subjects show promise.

Entities:  

Year:  1997        PMID: 20719689     DOI: 10.1016/s1050-6411(96)00016-8

Source DB:  PubMed          Journal:  J Electromyogr Kinesiol        ISSN: 1050-6411            Impact factor:   2.368


  8 in total

Review 1.  The effectiveness of FES-evoked EMG potentials to assess muscle force and fatigue in individuals with spinal cord injury.

Authors:  Morufu Olusola Ibitoye; Eduardo H Estigoni; Nur Azah Hamzaid; Ahmad Khairi Abdul Wahab; Glen M Davis
Journal:  Sensors (Basel)       Date:  2014-07-14       Impact factor: 3.576

2.  Evoked EMG versus muscle torque during fatiguing functional electrical stimulation-evoked muscle contractions and short-term recovery in individuals with spinal cord injury.

Authors:  Eduardo H Estigoni; Che Fornusek; Nur Azah Hamzaid; Nazirah Hasnan; Richard M Smith; Glen M Davis
Journal:  Sensors (Basel)       Date:  2014-12-03       Impact factor: 3.576

3.  Evoked Electromyographically Controlled Electrical Stimulation.

Authors:  Mitsuhiro Hayashibe
Journal:  Front Neurosci       Date:  2016-07-14       Impact factor: 4.677

4.  Electrical Stimulation Frequency and Skeletal Muscle Characteristics: Effects on Force and Fatigue.

Authors:  Maria Vromans; Pouran Faghri
Journal:  Eur J Transl Myol       Date:  2017-12-05

5.  Mechanomyography and Torque during FES-Evoked Muscle Contractions to Fatigue in Individuals with Spinal Cord Injury.

Authors:  Nor Zainah Mohamad; Nur Azah Hamzaid; Glen M Davis; Ahmad Khairi Abdul Wahab; Nazirah Hasnan
Journal:  Sensors (Basel)       Date:  2017-07-14       Impact factor: 3.576

6.  Hybrid Human-Machine Interface for Gait Decoding Through Bayesian Fusion of EEG and EMG Classifiers.

Authors:  Stefano Tortora; Luca Tonin; Carmelo Chisari; Silvestro Micera; Emanuele Menegatti; Fiorenzo Artoni
Journal:  Front Neurorobot       Date:  2020-11-17       Impact factor: 2.650

7.  Low-cost stimulation resistant electromyography.

Authors:  Lachlan R McKenzie; Christopher G Pretty; Benjamin C Fortune; Logan T Chatfield
Journal:  HardwareX       Date:  2021-02-13

8.  Hybrid FES-robot cooperative control of ambulatory gait rehabilitation exoskeleton.

Authors:  Antonio J del-Ama; Angel Gil-Agudo; José L Pons; Juan C Moreno
Journal:  J Neuroeng Rehabil       Date:  2014-03-04       Impact factor: 4.262

  8 in total

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