Analysis of Different Hand and Finger Grip Patterns using Surface Electromyography and Hand Dynamometry

Recording an Electromyogram (EMG) signal is essential for diagnostic procedures like muscle health assessment and motor neurons control. The EMG signals have been used as a source of control for powered prosthetics to support people to accomplish their activities of daily living (ADLs). This work d...

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Main Authors: A. Buniya, Ali H. Al-Timemy, A. Aldoori, Rami N. Khushaba
Format: Article
Language:English
Published: Al-Khwarizmi College of Engineering – University of Baghdad 2020-06-01
Series:Al-Khawarizmi Engineering Journal
Online Access:http://alkej.uobaghdad.edu.iq/index.php/alkej/article/view/679
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spelling doaj-adac7a05598a4bdba99494ee532f34182020-11-25T03:02:14Zeng Al-Khwarizmi College of Engineering – University of BaghdadAl-Khawarizmi Engineering Journal1818-11712312-07892020-06-0116210.22153/kej.2020.05.001Analysis of Different Hand and Finger Grip Patterns using Surface Electromyography and Hand DynamometryA. Buniya0Ali H. Al-Timemy1A. Aldoori2Rami N. Khushaba3Biomedical Engineering Department/ Al-Khwairzmi College of Engineering/ University of Baghdad/ IraqBiomedical Engineering Department/ Al-Khwairzmi College of Engineering/ University of Baghdad/ IraqBiomedical Engineering Department/ Al-Khwairzmi College of Engineering/ University of Baghdad/ IraqRami Khushaba is within the Faculty of Engineering and Information Technology (FEIT)/ University of Technology/ Sydney (UTS)/ 15 Broadway/ Ultimo 2007/ NSW/ Australia Recording an Electromyogram (EMG) signal is essential for diagnostic procedures like muscle health assessment and motor neurons control. The EMG signals have been used as a source of control for powered prosthetics to support people to accomplish their activities of daily living (ADLs). This work deals with studying different types of hand grips and finding their relationship with EMG activity. Five subjects carried out four functional movements (fine pinch, tripod grip and grip with the middle and thumb finger, as well as the power grip). Hand dynamometer has been used to record the EMG activity from three muscles namely; Flexor Carpi Radialis (FCR), Flexor Digitorum Superficialis (FDS), and Abductor Pollicis Brevis (ABP) with different levels of Maximum Voluntary Contraction (MVC) (10-100%). In order to analyze the collected EMG and force data, the mean absolute value of each trial is calculated followed by a calculation of the average of the 3 trials for each grip for each subject across the different MVC levels utilized in the study. Then, the mean and the standard deviation (SD) across all participants (3 males and 2 females) are calculated for FCR, FDS and APB muscles with multiple % MVC, i.e 10, 30, 50, 70 % MVC for each gesture. The results showed that APB muscle has the highest mean EMG activity across all grips, followed by FCR muscle. Furthermore, the grip with the thumb and middle fingers is the grip with the highest EMG activity for 10-70% MVC than the power grip. As for the 100% MVC, thumb and middle fingers grip achieved the highest EMG activity for APB muscle, while the power grip has the highest EMG activity for both FCR and FDS muscles.   http://alkej.uobaghdad.edu.iq/index.php/alkej/article/view/679
collection DOAJ
language English
format Article
sources DOAJ
author A. Buniya
Ali H. Al-Timemy
A. Aldoori
Rami N. Khushaba
spellingShingle A. Buniya
Ali H. Al-Timemy
A. Aldoori
Rami N. Khushaba
Analysis of Different Hand and Finger Grip Patterns using Surface Electromyography and Hand Dynamometry
Al-Khawarizmi Engineering Journal
author_facet A. Buniya
Ali H. Al-Timemy
A. Aldoori
Rami N. Khushaba
author_sort A. Buniya
title Analysis of Different Hand and Finger Grip Patterns using Surface Electromyography and Hand Dynamometry
title_short Analysis of Different Hand and Finger Grip Patterns using Surface Electromyography and Hand Dynamometry
title_full Analysis of Different Hand and Finger Grip Patterns using Surface Electromyography and Hand Dynamometry
title_fullStr Analysis of Different Hand and Finger Grip Patterns using Surface Electromyography and Hand Dynamometry
title_full_unstemmed Analysis of Different Hand and Finger Grip Patterns using Surface Electromyography and Hand Dynamometry
title_sort analysis of different hand and finger grip patterns using surface electromyography and hand dynamometry
publisher Al-Khwarizmi College of Engineering – University of Baghdad
series Al-Khawarizmi Engineering Journal
issn 1818-1171
2312-0789
publishDate 2020-06-01
description Recording an Electromyogram (EMG) signal is essential for diagnostic procedures like muscle health assessment and motor neurons control. The EMG signals have been used as a source of control for powered prosthetics to support people to accomplish their activities of daily living (ADLs). This work deals with studying different types of hand grips and finding their relationship with EMG activity. Five subjects carried out four functional movements (fine pinch, tripod grip and grip with the middle and thumb finger, as well as the power grip). Hand dynamometer has been used to record the EMG activity from three muscles namely; Flexor Carpi Radialis (FCR), Flexor Digitorum Superficialis (FDS), and Abductor Pollicis Brevis (ABP) with different levels of Maximum Voluntary Contraction (MVC) (10-100%). In order to analyze the collected EMG and force data, the mean absolute value of each trial is calculated followed by a calculation of the average of the 3 trials for each grip for each subject across the different MVC levels utilized in the study. Then, the mean and the standard deviation (SD) across all participants (3 males and 2 females) are calculated for FCR, FDS and APB muscles with multiple % MVC, i.e 10, 30, 50, 70 % MVC for each gesture. The results showed that APB muscle has the highest mean EMG activity across all grips, followed by FCR muscle. Furthermore, the grip with the thumb and middle fingers is the grip with the highest EMG activity for 10-70% MVC than the power grip. As for the 100% MVC, thumb and middle fingers grip achieved the highest EMG activity for APB muscle, while the power grip has the highest EMG activity for both FCR and FDS muscles.  
url http://alkej.uobaghdad.edu.iq/index.php/alkej/article/view/679
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