ArticleFrontiers in bioengineering and biotechnology2026
Continuous wavelet transform-based analysis of shoulder muscle fatigue during dynamic abduction: a surface electromyography study.
Article in Frontiers in bioengineering and biotechnology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
Background: Quantifying neuromuscular fatigue from surface electromyography (sEMG) signals during dynamic movements remains a methodological challenge due to the signals' non-stationarity. While wavelet-based approaches have demonstrated potential for analyzing muscle fatigue during dynamic tasks, substantial heterogeneity exists regarding movement protocols, signal-processing strategies, and fatigue metrics. Given the shoulders' central role in daily activities, this study evaluates a predefined Continuous Wavelet Transform (CWT)-based analysis framework for assessing fatigue-related spectral changes during dynamic shoulder abduction. Methods: Eight healthy subjects performed eleven standardized metronome-guided shoulder abductions under two conditions: without (W Results: Repeated-measures ANOVA revealed significant load-related reductions in median-frequency regression slopes for the right UT (F (1,7) = 10.09, p = 0.016, ηp Conclusion: These findings demonstrate the feasibility of the applied CWT-based framework for detecting fatigue-related spectral changes in dynamic shoulder movements. By addressing limitations of conventional frequency-domain approaches, the approach represents a promising framework for functional sEMG analysis and may support a basis for future applications in biomechanics, rehabilitation, and performance monitoring.
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