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 illu- minates the utilization of distinct transducers, including accelerometers, piezo e-lectric contact sensors, and condenser microphone sensors. Furthermore, it un- derscores the diverse results that these investigations have yielded. The main findings of this review, which apply to all of these forms of mechanomyogra- phy 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 accel- aerometers are the most trustworthy devices for spotting MMG signals during both voluntary and induced muscular contraction.
Metadata
Item Type: | Book Section |
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Creators: | Creators Email / ID Num. Daud, Muhamad Aliff Imran UNSPECIFIED Ahmad Puzi, Asmarani smarani@iium.edu.my Sidek, Shahrul Na’im UNSPECIFIED Abu Hassan, Salmah Anim UNSPECIFIED Zainuddin, Ahmad Anwar UNSPECIFIED Mohd Khairuddin, Ismail UNSPECIFIED Abd Mutalib, Mohd Azri UNSPECIFIED |
Contributors: | Contribution Name Email / ID Num. Patron Md Badarudin, Ismadi UNSPECIFIED Advisor Jasmis, Jamaluddin UNSPECIFIED Advisor Jono, Mohd Hajar Hasrol UNSPECIFIED Director Suhaimi, Nur Suhailayani UNSPECIFIED Team Member Mat Zain, Nurul Hidayah UNSPECIFIED Team Member Abdullah Sani, Anis Shobirin UNSPECIFIED Team Member Halim, Faiqah Hafidzah UNSPECIFIED Team Member Abd Kadir, Siti Aisyah UNSPECIFIED Team Member Jalil, Ummu Mardhiah UNSPECIFIED |
Subjects: | R Medicine > R Medicine (General) |
Divisions: | Universiti Teknologi MARA, Melaka > Jasin Campus > Faculty of Computer and Mathematical Sciences |
Event Title: | International Jasin Multimedia & Computer Science Invention and Innovation Exhibition (i-JaMCSIIX 2023) |
Event Dates: | 8th November 2023 |
Page Range: | pp. 25-34 |
Keywords: | Mechanomyography sensor; Muscle spasticity; Rehabilitation. |
Date: | 2023 |
URI: | https://ir.uitm.edu.my/id/eprint/94294 |