Recent Studies of Human Limbs Rehabilitation Using Mechanomyography Signal: A Survey
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...
| Main Authors: | , , , , , , |
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| Format: | Conference or Workshop Item |
| Language: | English English |
| Published: |
Springer Nature
2024
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| Subjects: | |
| Online Access: | http://umpir.ump.edu.my/id/eprint/41384/ http://umpir.ump.edu.my/id/eprint/41384/1/Recent%20Studies%20of%20Human%20Limbs%20Rehabilitation%20Using%20Mechanomyography%20Signal.pdf http://umpir.ump.edu.my/id/eprint/41384/2/Recent%20Studies%20of%20Human%20Limbs%20Rehabilitation%20Using%20Mechanomyography%20Signal-%20A%20Survey.pdf |
| _version_ | 1848826320452059136 |
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| author | 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 |
| author_facet | 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 |
| author_sort | Muhamad Aliff Imran, Daud |
| building | UMP Institutional Repository |
| collection | Online Access |
| description | 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. |
| first_indexed | 2025-11-15T03:42:57Z |
| format | Conference or Workshop Item |
| id | ump-41384 |
| institution | Universiti Malaysia Pahang |
| institution_category | Local University |
| language | English English |
| last_indexed | 2025-11-15T03:42:57Z |
| publishDate | 2024 |
| publisher | Springer Nature |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | ump-413842024-05-24T02:59:28Z http://umpir.ump.edu.my/id/eprint/41384/ Recent Studies of Human Limbs Rehabilitation Using Mechanomyography Signal: A Survey 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 TS Manufactures 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. Springer Nature 2024 Conference or Workshop Item PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/41384/1/Recent%20Studies%20of%20Human%20Limbs%20Rehabilitation%20Using%20Mechanomyography%20Signal.pdf pdf en http://umpir.ump.edu.my/id/eprint/41384/2/Recent%20Studies%20of%20Human%20Limbs%20Rehabilitation%20Using%20Mechanomyography%20Signal-%20A%20Survey.pdf Muhamad Aliff Imran, Daud and Asmarani, Ahmad Puzi and Shahrul Na’im, Sidek and Salmah Anim, Abu Hassan and Ahmad Anwar, Zainuddin and Ismail, Mohd Khairuddin and Mohd Azri, Abd Mutalib (2024) Recent Studies of Human Limbs Rehabilitation Using Mechanomyography Signal: A Survey. In: Intelligent Manufacturing and Mechatronics, Lecture Notes in Networks and Systems. 4th International conference on Innovative Manufacturing, Mechatronics and Materials Forum, iM3F2023 , 07 – 08 August 2023 , Pekan, Malaysia. pp. 263-273., 850. ISSN 2367-3389 ISBN 978-981-99-8819-8 (Published) https://doi.org/10.1007/978-981-99-8819-8_21 |
| spellingShingle | TS Manufactures 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 Recent Studies of Human Limbs Rehabilitation Using Mechanomyography Signal: A Survey |
| title | Recent Studies of Human Limbs Rehabilitation Using Mechanomyography Signal: A Survey |
| title_full | Recent Studies of Human Limbs Rehabilitation Using Mechanomyography Signal: A Survey |
| title_fullStr | Recent Studies of Human Limbs Rehabilitation Using Mechanomyography Signal: A Survey |
| title_full_unstemmed | Recent Studies of Human Limbs Rehabilitation Using Mechanomyography Signal: A Survey |
| title_short | Recent Studies of Human Limbs Rehabilitation Using Mechanomyography Signal: A Survey |
| title_sort | recent studies of human limbs rehabilitation using mechanomyography signal: a survey |
| topic | TS Manufactures |
| url | http://umpir.ump.edu.my/id/eprint/41384/ http://umpir.ump.edu.my/id/eprint/41384/ http://umpir.ump.edu.my/id/eprint/41384/1/Recent%20Studies%20of%20Human%20Limbs%20Rehabilitation%20Using%20Mechanomyography%20Signal.pdf http://umpir.ump.edu.my/id/eprint/41384/2/Recent%20Studies%20of%20Human%20Limbs%20Rehabilitation%20Using%20Mechanomyography%20Signal-%20A%20Survey.pdf |