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Related Experiment Video

Updated: Jun 18, 2026

Determining The Electromyographic Fatigue Threshold Following a Single Visit Exercise Test

Determining The Electromyographic Fatigue Threshold Following a Single Visit Exercise Test

Published on: July 27, 2015

Mechanomyogram for identifying muscle activity and fatigue.

Zhao Feng Yang¹, Dinesh Kant Kumar, Sridhar Poosapadi Arjunan

¹Bio-signal Lab, School of Electrical and Computer Engineering, RMIT University, GPO Box 2476V, Melbourne, VIC 3001 Australia.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference

|December 8, 2009

Summary

Mechanomyogram (MMG) signals correlate with muscle force and fatigue during contractions. However, high inter-subject variability and inconsistent spectral data limit its current applications.

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Last Updated: Jun 18, 2026

Determining The Electromyographic Fatigue Threshold Following a Single Visit Exercise Test

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Published on: July 27, 2015

Ex Vivo Assessment of Contractility, Fatigability and Alternans in Isolated Skeletal Muscles

Ex Vivo Assessment of Contractility, Fatigability and Alternans in Isolated Skeletal Muscles

Published on: November 1, 2012

Area of Science:

Biomedical Engineering
Physiology
Rehabilitation Science

Background:

Mechanomyogram (MMG) is an acoustic signal from muscle contractions, explored as an alternative to electromyography.
Despite its discovery nearly a decade ago, MMG lacks thorough investigation and established clinical applications.
Current research aims to explore MMG's potential in assessing muscle function.

Purpose of the Study:

To experimentally investigate the relationship between Mechanomyogram (MMG) intensity and muscle contraction force.
To assess the impact of muscle fatigue on MMG signals during cyclic contractions.
To evaluate the utility of MMG spectral characteristics in analyzing muscle activity.

Main Methods:

Experimental design involving cyclic muscle contractions.
Recording of Mechanomyogram (MMG) signals.
Measurement of muscle force and assessment of muscle fatigue.
Analysis of MMG signal intensity and spectral properties.

Main Results:

A significant relationship was observed between MMG signal intensity and the force of muscle contraction.
Changes in MMG intensity were detected with the onset of muscle fatigue.
High inter-subject variability was noted in MMG recordings.
The spectral content of MMG signals was found to be inconsistent and not a reliable feature.

Conclusions:

Mechanomyogram (MMG) intensity is a viable indicator of muscle contraction force and fatigue.
Significant inter-subject variability poses a challenge for widespread MMG application.
MMG spectral analysis is currently not a useful feature for assessing muscle activity.
Further research is needed to overcome variability and establish clinical utility for MMG.