Neuro-based thumb-tip force and joint angle modeling for development of prosthetic thumb control

Human fingers have a specific role that contributes to different hand functions. Among these fingers, the thumb plays the most special function as an anchor to many hand activities. As a result, the loss of the thumb due to traumatic accidents can be catastrophic as proper hand function will be seve...

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Main Authors:	Jalaludin, Nor Anija, Sidek, Shahrul Na'im, Shamsudin, Abu Ubaidah
Format:	Article
Language:	English
Published:	Vienna University of Technology 2013
Subjects:	T Technology (General)
Online Access:	http://irep.iium.edu.my/32213/ http://irep.iium.edu.my/32213/ http://irep.iium.edu.my/32213/ http://irep.iium.edu.my/32213/1/InTech-Neuro_based_thumb_tip_force_and_joint_angle_modelling_for_development_of_prosthetic_thumb_control.pdf

id	iium-32213
recordtype	eprints
spelling	iium-322132013-10-04T03:59:23Z http://irep.iium.edu.my/32213/ Neuro-based thumb-tip force and joint angle modeling for development of prosthetic thumb control Jalaludin, Nor Anija Sidek, Shahrul Na'im Shamsudin, Abu Ubaidah T Technology (General) Human fingers have a specific role that contributes to different hand functions. Among these fingers, the thumb plays the most special function as an anchor to many hand activities. As a result, the loss of the thumb due to traumatic accidents can be catastrophic as proper hand function will be severely limited. In order to solve this problem, a prosthetic thumb is developed to be worn in complementing the function of the rest of the fingers. The movement of the prosthetic device can be naturally controlled by using electromyogram (EMG) signals. In this work, the EMG signals from the human muscles were measured in different thumb configurations and thumb-tip forces in flexion movement. The muscles involved are the Adductor Pollicis (AP), Flexor Pollicis Brevis (FPB), Abductor Pollicis Brevis (APB) and First Dorsal Interosseous (FDI). The classification of the EMG signals based on different force and thumb configurations is performed using an Artificial Neural Network (ANN).From a series of experiments, the results show that the neural network efficiently classified the signals and a unique set of EMG signals was generated for each thumb movement and force. Therefore, EMG signals were used to control the prosthetic movement with aid from the developed neural network. Vienna University of Technology 2013-10 Article PeerReviewed application/pdf en http://irep.iium.edu.my/32213/1/InTech-Neuro_based_thumb_tip_force_and_joint_angle_modelling_for_development_of_prosthetic_thumb_control.pdf Jalaludin, Nor Anija and Sidek, Shahrul Na'im and Shamsudin, Abu Ubaidah (2013) Neuro-based thumb-tip force and joint angle modeling for development of prosthetic thumb control. International Journal of Advanced Robotic Systems, 10. pp. 1-8. ISSN 1729-8806 http://www.intechopen.com/journals/international_journal_of_advanced_robotic_systems/neuro-based-thumb-tip-force-and-joint-angle-modelling-for-development-of-prosthetic-thumb-control 10.5772/56666
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
language	English
topic	T Technology (General)
spellingShingle	T Technology (General) Jalaludin, Nor Anija Sidek, Shahrul Na'im Shamsudin, Abu Ubaidah Neuro-based thumb-tip force and joint angle modeling for development of prosthetic thumb control
description	Human fingers have a specific role that contributes to different hand functions. Among these fingers, the thumb plays the most special function as an anchor to many hand activities. As a result, the loss of the thumb due to traumatic accidents can be catastrophic as proper hand function will be severely limited. In order to solve this problem, a prosthetic thumb is developed to be worn in complementing the function of the rest of the fingers. The movement of the prosthetic device can be naturally controlled by using electromyogram (EMG) signals. In this work, the EMG signals from the human muscles were measured in different thumb configurations and thumb-tip forces in flexion movement. The muscles involved are the Adductor Pollicis (AP), Flexor Pollicis Brevis (FPB), Abductor Pollicis Brevis (APB) and First Dorsal Interosseous (FDI). The classification of the EMG signals based on different force and thumb configurations is performed using an Artificial Neural Network (ANN).From a series of experiments, the results show that the neural network efficiently classified the signals and a unique set of EMG signals was generated for each thumb movement and force. Therefore, EMG signals were used to control the prosthetic movement with aid from the developed neural network.
format	Article
author	Jalaludin, Nor Anija Sidek, Shahrul Na'im Shamsudin, Abu Ubaidah
author_facet	Jalaludin, Nor Anija Sidek, Shahrul Na'im Shamsudin, Abu Ubaidah
author_sort	Jalaludin, Nor Anija
title	Neuro-based thumb-tip force and joint angle modeling for development of prosthetic thumb control
title_short	Neuro-based thumb-tip force and joint angle modeling for development of prosthetic thumb control
title_full	Neuro-based thumb-tip force and joint angle modeling for development of prosthetic thumb control
title_fullStr	Neuro-based thumb-tip force and joint angle modeling for development of prosthetic thumb control
title_full_unstemmed	Neuro-based thumb-tip force and joint angle modeling for development of prosthetic thumb control
title_sort	neuro-based thumb-tip force and joint angle modeling for development of prosthetic thumb control
publisher	Vienna University of Technology
publishDate	2013
url	http://irep.iium.edu.my/32213/ http://irep.iium.edu.my/32213/ http://irep.iium.edu.my/32213/ http://irep.iium.edu.my/32213/1/InTech-Neuro_based_thumb_tip_force_and_joint_angle_modelling_for_development_of_prosthetic_thumb_control.pdf
first_indexed	2023-09-18T20:46:30Z
last_indexed	2023-09-18T20:46:30Z
_version_	1777409709890863104

Neuro-based thumb-tip force and joint angle modeling for development of prosthetic thumb control

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