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Updated: Jun 24, 2026
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A Real-Time Wearable Electromyography Measurement System for Small Animals
Published on: November 15, 2024
Intramuscular fine-wire electromyography during cycling: repeatability, normalisation and a comparison to surface
Andrew R Chapman1, Bill Vicenzino, Peter Blanch
1Division of Physiotherapy, The University of Queensland, Australia. archapman@mac.com
Summary
Intramuscular fine-wire electromyography (fEMG) is feasible for cycling leg muscle analysis. Normalizing to maximum amplitude (MAX) ensures high repeatability and sensitivity, supporting fEMG use.
Area of Science:
- Biomechanics
- Neuroscience
- Sports Science
Background:
- Electromyography (EMG) is crucial for understanding muscle activity during cycling.
- Intramuscular fine-wire EMG (fEMG) offers potential for detailed muscle analysis, but its feasibility and reliability in dynamic movements like cycling require investigation.
- Comparing fEMG with surface EMG (sEMG) is essential to understand their respective strengths and limitations.
Purpose of the Study:
- To assess the feasibility and repeatability of fEMG recordings in leg muscles during high-velocity cycling.
- To determine the impact of different amplitude normalization techniques (MAX, MVC, sMVC) on EMG data repeatability and statistical sensitivity.
- To evaluate how test-retest interval duration affects fEMG repeatability.
- To compare fEMG and sEMG recordings for cycling to identify differences in muscle activity detection.
Main Methods:
- fEMG and sEMG recordings of leg muscles during cycling.
- Participants underwent one session (n=12) for statistical sensitivity and sEMG/fEMG comparison, or two sessions (n=10) separated by 5-20 days for repeatability assessment.
- Data were normalized to maximum measured EMG amplitude (MAX), maximal voluntary contraction (MVC), or submaximal voluntary contraction (sMVC).
Main Results:
- fEMG recordings were feasible and demonstrated high repeatability when normalized to MAX (CMC .83–.88).
- Normalization to MVC or sMVC resulted in lower repeatability (p<.01).
- Statistical sensitivity was highest with MAX normalization (p<.01).
- Longer test-retest intervals improved fEMG repeatability (p<.01).
- Both sEMG and fEMG showed similar muscle recruitment patterns, but sEMG included additional myoelectric signals.
Conclusions:
- fEMG is a feasible and repeatable method for analyzing leg muscle activity during cycling.
- Normalizing fEMG data to MAX is recommended for optimal repeatability and statistical sensitivity.
- Longer intervals between testing sessions enhance the reliability of fEMG measurements.
- fEMG provides a detailed view of muscle recruitment, complementing sEMG findings in cycling research.
