Development of a wireless surface electromyography (sEMG) signal acquisition device for power-assisted wheelchair system

Muscle fatigue due to long-term of manual wheelchair propulsion is an issue faced by most of users. A power-assisted wheelchair developed to amplify propulsion force that activated by surface electromyography (sEMG). A sEMG detection wireless device to trigger the assistive system is an advantage to...

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Main Authors: M. H., Muhammad Sidik, S. A., Che Ghani, Mahfodzah, M. Padzi
Format: Article
Language:English
Published: Blue Eyes Intelligence Engineering & Sciences Publication 2019
Subjects:
Online Access:http://umpir.ump.edu.my/id/eprint/26300/
http://umpir.ump.edu.my/id/eprint/26300/
http://umpir.ump.edu.my/id/eprint/26300/
http://umpir.ump.edu.my/id/eprint/26300/1/Development%20of%20a%20wireless%20surface%20electromyography%20%28sEMG%29%20signal%20acquisition.pdf
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spelling ump-263002019-11-29T01:23:47Z http://umpir.ump.edu.my/id/eprint/26300/ Development of a wireless surface electromyography (sEMG) signal acquisition device for power-assisted wheelchair system M. H., Muhammad Sidik S. A., Che Ghani Mahfodzah, M. Padzi QA75 Electronic computers. Computer science QC Physics TJ Mechanical engineering and machinery TS Manufactures Muscle fatigue due to long-term of manual wheelchair propulsion is an issue faced by most of users. A power-assisted wheelchair developed to amplify propulsion force that activated by surface electromyography (sEMG). A sEMG detection wireless device to trigger the assistive system is an advantage to ease installation on user’s body and wheelchair which is developed in this study. A device that operated on Arduino Nano processor connected to 2 (two) Myoware sEMG sensors to record muscles electrical potential (EP), recognise the pattern and activate DC motors wirelessly connected through radio frequency. Data monitoring on personal computer and smart phone associated with Bluetooth to store and ease observation on recorded information. Tested on 1 healthy participant by propelling a manual wheelchair on tiled floor. Developed device’s performance tested and the result are average sampling rate (33.55 ms) and average reading latency was just 12.38 ms. Compared to wired device, sampling rate is faster by % and reading latency slower by 1.04 %. Result demonstrate that developed wireless device would improve in speed in signal reading and enhancement on reading latency is needed to provide a reliable device for power-assisted system in the future. Blue Eyes Intelligence Engineering & Sciences Publication 2019-08 Article PeerReviewed pdf en cc_by_nc_nd http://umpir.ump.edu.my/id/eprint/26300/1/Development%20of%20a%20wireless%20surface%20electromyography%20%28sEMG%29%20signal%20acquisition.pdf M. H., Muhammad Sidik and S. A., Che Ghani and Mahfodzah, M. Padzi (2019) Development of a wireless surface electromyography (sEMG) signal acquisition device for power-assisted wheelchair system. International Journal of Engineering and Advanced Technology, 8 (6). pp. 3414-3418. ISSN 2249-8958 https://doi.org/10.35940/ijeat.F9511.088619 https://doi.org/10.35940/ijeat.F9511.088619
repository_type Digital Repository
institution_category Local University
institution Universiti Malaysia Pahang
building UMP Institutional Repository
collection Online Access
language English
topic QA75 Electronic computers. Computer science
QC Physics
TJ Mechanical engineering and machinery
TS Manufactures
spellingShingle QA75 Electronic computers. Computer science
QC Physics
TJ Mechanical engineering and machinery
TS Manufactures
M. H., Muhammad Sidik
S. A., Che Ghani
Mahfodzah, M. Padzi
Development of a wireless surface electromyography (sEMG) signal acquisition device for power-assisted wheelchair system
description Muscle fatigue due to long-term of manual wheelchair propulsion is an issue faced by most of users. A power-assisted wheelchair developed to amplify propulsion force that activated by surface electromyography (sEMG). A sEMG detection wireless device to trigger the assistive system is an advantage to ease installation on user’s body and wheelchair which is developed in this study. A device that operated on Arduino Nano processor connected to 2 (two) Myoware sEMG sensors to record muscles electrical potential (EP), recognise the pattern and activate DC motors wirelessly connected through radio frequency. Data monitoring on personal computer and smart phone associated with Bluetooth to store and ease observation on recorded information. Tested on 1 healthy participant by propelling a manual wheelchair on tiled floor. Developed device’s performance tested and the result are average sampling rate (33.55 ms) and average reading latency was just 12.38 ms. Compared to wired device, sampling rate is faster by % and reading latency slower by 1.04 %. Result demonstrate that developed wireless device would improve in speed in signal reading and enhancement on reading latency is needed to provide a reliable device for power-assisted system in the future.
format Article
author M. H., Muhammad Sidik
S. A., Che Ghani
Mahfodzah, M. Padzi
author_facet M. H., Muhammad Sidik
S. A., Che Ghani
Mahfodzah, M. Padzi
author_sort M. H., Muhammad Sidik
title Development of a wireless surface electromyography (sEMG) signal acquisition device for power-assisted wheelchair system
title_short Development of a wireless surface electromyography (sEMG) signal acquisition device for power-assisted wheelchair system
title_full Development of a wireless surface electromyography (sEMG) signal acquisition device for power-assisted wheelchair system
title_fullStr Development of a wireless surface electromyography (sEMG) signal acquisition device for power-assisted wheelchair system
title_full_unstemmed Development of a wireless surface electromyography (sEMG) signal acquisition device for power-assisted wheelchair system
title_sort development of a wireless surface electromyography (semg) signal acquisition device for power-assisted wheelchair system
publisher Blue Eyes Intelligence Engineering & Sciences Publication
publishDate 2019
url http://umpir.ump.edu.my/id/eprint/26300/
http://umpir.ump.edu.my/id/eprint/26300/
http://umpir.ump.edu.my/id/eprint/26300/
http://umpir.ump.edu.my/id/eprint/26300/1/Development%20of%20a%20wireless%20surface%20electromyography%20%28sEMG%29%20signal%20acquisition.pdf
first_indexed 2023-09-18T22:40:51Z
last_indexed 2023-09-18T22:40:51Z
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