Cloud-Based sEMG Segmentation for Muscle Fatigue Monitoring: A Wavelet–Quantile Approach with Computational Cost Assessment

This paper presents the development and cloud deployment of a system for the segmentation of electromyographic (EMG) signals oriented toward muscle fatigue monitoring in the biceps and triceps. A dataset of 30 subjects was used, resulting in 120 EMG and gyroscope files containing between four and si...

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Autori principali:	Aura Polo, Mario Callejas Cabarcas, Lácides Antonio Ripoll Solano, Carlos Robles-Algarín, Omar Rodríguez-Álvarez
Natura:	Artigo
Lingua:	Inglês
Pubblicazione:	MDPI AG 2025-12-01
Serie:	Technologies
Soggetti:	sEMG muscle fatigue signal segmentation wavelet transform inertial sensors IoT architecture
Accesso online:	https://www.mdpi.com/2227-7080/14/1/16
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