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Exploring Machine Learning Algorithms for Optimized Muscle Activity Detection Using sEMG Signals: A Systematic Review

2026-03-09

Abstract excerpt

<title>Abstract</title> <p>sEMG signals are considered important in development of prosthetics, clinical diagnosis and rehabilitation sciences. The most important feature in signal acquisition is muscular-activity timing that determines muscle onset/offset timing representing indicating muscle activity. Numerous research propositions are devised, although the standard method is not completed yet. The aim of this...

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Literature Corpus work: 7e14d832-903f-5391-b8e2-1eeb2c1dc857
DOI: 10.21203/rs.3.rs-9048584/v1

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