Abstract / truncated to 115 words (read the full abstract)

Surface electromyography (sEMG) has become an indispensable tool, extensively used across various fields such as medical diagnosis, rehabilitation, sports science, and prosthetic control. Among these applications, the study of neuromuscular adaptations related to muscle fatigue stands out due to its complexity and the intricate physiological processes underlying muscle activity. This PhD thesis aims to address this challenge by exploring the use of bipolar and high-density surface EMG (HD-EMG) to study the electrical signs of muscle fatigue across different scenarios. The primary objective is to advance our understanding of the neuromuscular system's strategies during fatigue and to use non-invasive sEMG as a reliable method for accurately detecting and characterizing the progression of muscle fatigue. This research ... toggle 6 keywords

muscle fatigue – high density surface emg (hd-semg) – bipolar emg – power spectral density (psd) estimation – human-robot collaboration (hrc) – neuromuscular adaptations

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