Recent studies of human limbs rehabilitation using mechanomyography signal: a survey

Daud, Muhamad Aliff Imran and Ahmad Puzi, Asmarani and Sidek, Shahrul Na'im and Abu Hassan, Salmah Anim and Zainuddin, Ahmad Anwar and Mohd Khairuddin, Ismail and Abd Mutalib, Mohd Azri (2024) Recent studies of human limbs rehabilitation using mechanomyography signal: a survey. In: Innovative Manufacturing, Mechatronics and Manufacturing Forum 2023 (iM3F 2023), 7th - 8th August 2023, Pekan, Pahang, Malaysia.

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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.

Item Type:	Proceeding Paper (Slide Presentation)
Additional Information:	10324/114975
Uncontrolled Keywords:	Mechanomyography sensor, Muscle spasticity, Rehabilitation
Subjects:	T Technology > T Technology (General)
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button):	Kulliyyah of Engineering Kulliyyah of Engineering > Department of Mechatronics Engineering Kulliyyah of Medicine Kulliyyah of Medicine > Department of Department of Orthopaedics, Traumatology & Rehabilitation Kulliyyah of Information and Communication Technology Kulliyyah of Information and Communication Technology Kulliyyah of Information and Communication Technology > Department of Computer Science Kulliyyah of Information and Communication Technology > Department of Computer Science
Depositing User:	Dr Asmarani Ahmad Puzi
Date Deposited:	11 Oct 2024 12:26
Last Modified:	22 Oct 2024 15:10
URI:	http://irep.iium.edu.my/id/eprint/114975

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