Wireless sEMG Sensor for Neck Muscle Activity Measurement and Posture Classification using Machine Learning

The nature of prolonged work and lifestyle have affected upper extremities, leading to neck musculoskeletal disorders (MSD). The existing wired surface electromyography (sEMG) techniques limits the dynamic muscle activity measurement. In the current study, a wireless, lightweight, cost-effective and...

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Veröffentlicht in:	IEEE sensors journal Jg. 23; H. 24; S. 1
Hauptverfasser:	Dandumahanti, Bhanu Priya, Subramaniyam, Murali
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York IEEE 15.12.2023 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Algorithms Classification Electromyogram Electromyography Error analysis Machine learning Muscle function Muscles Neck neck posture classification NRF transmission Pattern classification Sensors signal acquisition system Signal to noise ratio Support vector machines Wireless communication wireless EMG Wireless sensor networks
ISSN:	1530-437X, 1558-1748
Online-Zugang:	Volltext
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