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Erschienen in:

2024 | OriginalPaper | Buchkapitel

Recent Studies of Human Limbs Rehabilitation Using Mechanomyography Signal: A Survey

verfasst von : Muhamad Aliff Imran Daud, Asmarani Ahmad Puzi, Shahrul Na’im Sidek, Salmah Anim Abu Hassan, Ahmad Anwar Zainuddin, Ismail Mohd Khairuddin, Mohd Azri Abd Mutalib

Erschienen in: Intelligent Manufacturing and Mechatronics

Verlag: Springer Nature Singapore

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Abstract

In rehabilitation and medical offices, mechanomyography (MMG) is a noninvasive, painless technology that can be applied for a number of goals. The goal of this study is to present a thorough overview of recent studies on mechanomyography-based human limb rehabilitation. The present study illuminates the utilization of distinct transducers, including accelerometers, piezoelectric contact sensors, and condenser microphone sensors. Furthermore, it underscores the diverse results that these investigations have yielded. The main findings of this review, which apply to all of these forms of mechanomyography sensors, are that the ratio of sensor mass to muscle mass under observation is the most crucial factor in sensor selection. Therefore, it is believed that accelerometers are the most trustworthy devices for spotting MMG signals during both voluntary and induced muscular contractions.

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Titel: Recent Studies of Human Limbs Rehabilitation Using Mechanomyography Signal: A Survey
verfasst von: Muhamad Aliff Imran Daud
Asmarani Ahmad Puzi
Shahrul Na’im Sidek
Salmah Anim Abu Hassan
Ahmad Anwar Zainuddin
Ismail Mohd Khairuddin
Mohd Azri Abd Mutalib
Verlag: Springer Nature Singapore
Buch: Intelligent Manufacturing and Mechatronics
Print ISBN: 978-981-9988-18-1

Electronic ISBN: 978-981-9988-19-8

Copyright-Jahr: 2024
DOI: https://doi.org/10.1007/978-981-99-8819-8_21

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