EMG Signal Features Extraction of Different Arm Movement for Rehabilitation Device

Rehabilitation device is used as an exoskeleton for people who had failure of their limb. Arm rehabilitation device may help the rehab program to who suffer from arm disability. The device used to facilitate the tasks of the program should improve the electrical activity in the motor unit and minim...

Full description

Saved in:
Bibliographic Details
Main Authors: Jali, Mohd Hafiz, Ibrahim, I.M., Sulaima, Mohamad Fani, Ahmad Izzuddin, Tarmizi, Wan Daud, Wan Mohd Bukhari
Format: Article
Language:English
Published: Research India Publications 2014
Subjects:
Online Access:http://eprints.utem.edu.my/id/eprint/13590/1/Published_EMG_signal_Features_extraction_254_26864_-_IJAER__pp_11151-11162-1.pdf
http://eprints.utem.edu.my/id/eprint/13590/
http://www.ripublication.com/ijaer.htm
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Universiti Teknikal Malaysia Melaka
Language: English
id my.utem.eprints.13590
record_format eprints
spelling my.utem.eprints.135902015-05-28T04:32:46Z http://eprints.utem.edu.my/id/eprint/13590/ EMG Signal Features Extraction of Different Arm Movement for Rehabilitation Device Jali, Mohd Hafiz Ibrahim, I.M. Sulaima, Mohamad Fani Ahmad Izzuddin, Tarmizi Wan Daud, Wan Mohd Bukhari TK Electrical engineering. Electronics Nuclear engineering Rehabilitation device is used as an exoskeleton for people who had failure of their limb. Arm rehabilitation device may help the rehab program to who suffer from arm disability. The device used to facilitate the tasks of the program should improve the electrical activity in the motor unit and minimize the mental effort of the user. Electromyography (EMG) is the techniques to analyze the presence of electrical activity in musculoskeletal systems. The electrical activity in muscles of disable person is failed to contract the muscle for movements. To prevent the muscles from paralysis becomes spasticity the force of movements should minimize the mental efforts. To minimize the used of mental forced for disable patients, the rehabilitation device should analyze the surface EMG signal of normal people that can be implemented to the device. The signal is collected according to procedure of surface electromyography for non-invasive assessment of muscles SENIAM). The EMG signal is implemented to set the movements’ pattern of the arm rehabilitation device. The filtered EMG signal were extracted for features of Standard Deviation(STD), Mean Absolute Value(MAV), Root Mean Square(RMS) in time-domain. The extraction of EMG data is important to have the reduced vector in the signal features with less of error. In order to determine the best features for any movements, several trials of extraction methods are used by determining the features that can be used in classifier. The accurate features can be appliedin future works of rehabilitation control system in real-time and classification of the EMG signal. Research India Publications 2014-10-14 Article PeerReviewed application/pdf en http://eprints.utem.edu.my/id/eprint/13590/1/Published_EMG_signal_Features_extraction_254_26864_-_IJAER__pp_11151-11162-1.pdf Jali, Mohd Hafiz and Ibrahim, I.M. and Sulaima, Mohamad Fani and Ahmad Izzuddin, Tarmizi and Wan Daud, Wan Mohd Bukhari (2014) EMG Signal Features Extraction of Different Arm Movement for Rehabilitation Device. International Journal of Applied Engineering Research, 9 (21). pp. 11151-11162. ISSN 0973-4562 http://www.ripublication.com/ijaer.htm
institution Universiti Teknikal Malaysia Melaka
building UTEM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknikal Malaysia Melaka
content_source UTEM Institutional Repository
url_provider http://eprints.utem.edu.my/
language English
topic TK Electrical engineering. Electronics Nuclear engineering
spellingShingle TK Electrical engineering. Electronics Nuclear engineering
Jali, Mohd Hafiz
Ibrahim, I.M.
Sulaima, Mohamad Fani
Ahmad Izzuddin, Tarmizi
Wan Daud, Wan Mohd Bukhari
EMG Signal Features Extraction of Different Arm Movement for Rehabilitation Device
description Rehabilitation device is used as an exoskeleton for people who had failure of their limb. Arm rehabilitation device may help the rehab program to who suffer from arm disability. The device used to facilitate the tasks of the program should improve the electrical activity in the motor unit and minimize the mental effort of the user. Electromyography (EMG) is the techniques to analyze the presence of electrical activity in musculoskeletal systems. The electrical activity in muscles of disable person is failed to contract the muscle for movements. To prevent the muscles from paralysis becomes spasticity the force of movements should minimize the mental efforts. To minimize the used of mental forced for disable patients, the rehabilitation device should analyze the surface EMG signal of normal people that can be implemented to the device. The signal is collected according to procedure of surface electromyography for non-invasive assessment of muscles SENIAM). The EMG signal is implemented to set the movements’ pattern of the arm rehabilitation device. The filtered EMG signal were extracted for features of Standard Deviation(STD), Mean Absolute Value(MAV), Root Mean Square(RMS) in time-domain. The extraction of EMG data is important to have the reduced vector in the signal features with less of error. In order to determine the best features for any movements, several trials of extraction methods are used by determining the features that can be used in classifier. The accurate features can be appliedin future works of rehabilitation control system in real-time and classification of the EMG signal.
format Article
author Jali, Mohd Hafiz
Ibrahim, I.M.
Sulaima, Mohamad Fani
Ahmad Izzuddin, Tarmizi
Wan Daud, Wan Mohd Bukhari
author_facet Jali, Mohd Hafiz
Ibrahim, I.M.
Sulaima, Mohamad Fani
Ahmad Izzuddin, Tarmizi
Wan Daud, Wan Mohd Bukhari
author_sort Jali, Mohd Hafiz
title EMG Signal Features Extraction of Different Arm Movement for Rehabilitation Device
title_short EMG Signal Features Extraction of Different Arm Movement for Rehabilitation Device
title_full EMG Signal Features Extraction of Different Arm Movement for Rehabilitation Device
title_fullStr EMG Signal Features Extraction of Different Arm Movement for Rehabilitation Device
title_full_unstemmed EMG Signal Features Extraction of Different Arm Movement for Rehabilitation Device
title_sort emg signal features extraction of different arm movement for rehabilitation device
publisher Research India Publications
publishDate 2014
url http://eprints.utem.edu.my/id/eprint/13590/1/Published_EMG_signal_Features_extraction_254_26864_-_IJAER__pp_11151-11162-1.pdf
http://eprints.utem.edu.my/id/eprint/13590/
http://www.ripublication.com/ijaer.htm
_version_ 1665905551837495296