Electromyography (EMG)-based thump-tip force estimation for prosthetic thumb

Every normal-born human have five fingers connected to each of the hands. These fingers have their own specific role that contributes to different hand functions. Among the five fingers, the thumb plays the most special function as an anchor to many of hand activities such as turning a key, grippin...

Full description

Bibliographic Details
Main Authors:	Jalaludin, Nor Anija, Shamsudin, Abu Ubaidah, Sidek, Shahrul Na'im, Aibinu, Abiodun Musa
Format:	Conference or Workshop Item
Language:	English
Published:	2012
Subjects:	TA168 Systems engineering
Online Access:	http://irep.iium.edu.my/24505/ http://irep.iium.edu.my/24505/ http://irep.iium.edu.my/24505/1/1390C.pdf

id	iium-24505
recordtype	eprints
spelling	iium-245052019-01-10T05:04:52Z http://irep.iium.edu.my/24505/ Electromyography (EMG)-based thump-tip force estimation for prosthetic thumb Jalaludin, Nor Anija Shamsudin, Abu Ubaidah Sidek, Shahrul Na'im Aibinu, Abiodun Musa TA168 Systems engineering Every normal-born human have five fingers connected to each of the hands. These fingers have their own specific role that contributes to different hand functions. Among the five fingers, the thumb plays the most special function as an anchor to many of hand activities such as turning a key, gripping a ball and holding a spoon for eating. As a result, the lost of thumb due to traumatic accidents could be catastrophic as proper hand function will be severely limited. In order to solve this problem, a prosthetic thumb can be worn to complement the function of the rest of the fingers. In this work the relationship between the electromyography (EMG) and thumb tip force is investigated in order to develop a more natural controlled prosthetic thumb. The signals are measured from the thumb intrinsic muscles namely the Adductor Pollicis (AP), Flexor Pollicis Brevis (FPB),Abductor Pollicis Brevis (APB) and First Dorsal Interosseous(FDI). Meanwhile the thumb tip force is recorded by using the force sensor (FSR). The relationship between the EMG signals to the thumb-tip force is established by using Artificial Neural Network (ANN). A series of experiments have been conducted and preliminary results show the efficacy of ANN to capture the relationship model. 2012 Conference or Workshop Item PeerReviewed application/pdf en http://irep.iium.edu.my/24505/1/1390C.pdf Jalaludin, Nor Anija and Shamsudin, Abu Ubaidah and Sidek, Shahrul Na'im and Aibinu, Abiodun Musa (2012) Electromyography (EMG)-based thump-tip force estimation for prosthetic thumb. In: International Conference on Computer and Communication Engineering (ICCCE 2012), 3-5 July 2012, Seri Pacific Hotel Kuala Lumpur. http://www.iium.edu.my/iccce/12/
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
language	English
topic	TA168 Systems engineering
spellingShingle	TA168 Systems engineering Jalaludin, Nor Anija Shamsudin, Abu Ubaidah Sidek, Shahrul Na'im Aibinu, Abiodun Musa Electromyography (EMG)-based thump-tip force estimation for prosthetic thumb
description	Every normal-born human have five fingers connected to each of the hands. These fingers have their own specific role that contributes to different hand functions. Among the five fingers, the thumb plays the most special function as an anchor to many of hand activities such as turning a key, gripping a ball and holding a spoon for eating. As a result, the lost of thumb due to traumatic accidents could be catastrophic as proper hand function will be severely limited. In order to solve this problem, a prosthetic thumb can be worn to complement the function of the rest of the fingers. In this work the relationship between the electromyography (EMG) and thumb tip force is investigated in order to develop a more natural controlled prosthetic thumb. The signals are measured from the thumb intrinsic muscles namely the Adductor Pollicis (AP), Flexor Pollicis Brevis (FPB),Abductor Pollicis Brevis (APB) and First Dorsal Interosseous(FDI). Meanwhile the thumb tip force is recorded by using the force sensor (FSR). The relationship between the EMG signals to the thumb-tip force is established by using Artificial Neural Network (ANN). A series of experiments have been conducted and preliminary results show the efficacy of ANN to capture the relationship model.
format	Conference or Workshop Item
author	Jalaludin, Nor Anija Shamsudin, Abu Ubaidah Sidek, Shahrul Na'im Aibinu, Abiodun Musa
author_facet	Jalaludin, Nor Anija Shamsudin, Abu Ubaidah Sidek, Shahrul Na'im Aibinu, Abiodun Musa
author_sort	Jalaludin, Nor Anija
title	Electromyography (EMG)-based thump-tip force estimation for prosthetic thumb
title_short	Electromyography (EMG)-based thump-tip force estimation for prosthetic thumb
title_full	Electromyography (EMG)-based thump-tip force estimation for prosthetic thumb
title_fullStr	Electromyography (EMG)-based thump-tip force estimation for prosthetic thumb
title_full_unstemmed	Electromyography (EMG)-based thump-tip force estimation for prosthetic thumb
title_sort	electromyography (emg)-based thump-tip force estimation for prosthetic thumb
publishDate	2012
url	http://irep.iium.edu.my/24505/ http://irep.iium.edu.my/24505/ http://irep.iium.edu.my/24505/1/1390C.pdf
first_indexed	2023-09-18T20:36:44Z
last_indexed	2023-09-18T20:36:44Z
_version_	1777409096040841216

Electromyography (EMG)-based thump-tip force estimation for prosthetic thumb

Similar Items