Research
Neural
The proposed signal processing technique can identify muscle fatigue during cycling with 98% significance.
Practitioners can use this technique for non-invasive monitoring of muscle fatigue during cycling.
StrongSupportsmedium confidence
the technique is able to identify muscle fatigue with 98% significance.
Why this rating
Based on the experimental design involving multiple participants.
Source
Strategies to Identify Muscle Fatigue from SEMG During Cycling
Vijay P. Singh et al. · 2005
DOI 10.1109/issnip.2004.1417520
other · n=7Cited 11×
Read the paper DOI resolved against Crossref · corpus check 2026-06-10
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