Measurement system to study the relationship between forearm EMG signals and hand grip force

Measurement system to study the relationship between forearm EMG signals and hand grip force

Hand grip force, wrist flexion and wrist extension are the result of forearm muscle activity. In certain applications such as controlling the movements of a robotic prosthetic hand, information relating wrist joint angles to forearm muscle activity is useful to be used as part of the control algorit...

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Bibliographic Details
Main Authors: Sidek, Shahrul Naim, Haja Mohideen, Ahmad Jazlan
Format: Conference or Workshop Item
Language:English
English
Published: 2012
Subjects:
TA164 Bioengineering
Online Access:http://irep.iium.edu.my/22593/
http://irep.iium.edu.my/22593/
http://irep.iium.edu.my/22593/1/ICOBE2012_EMG_grip_force.pdf
http://irep.iium.edu.my/22593/4/Measurement_system_to_study_the_relationship_between_forearm_EMG_signals_and_wrist_position_at_varied_hand_grip_force.pdf
id iium-22593
recordtype eprints
spelling iium-225932019-01-10T04:18:38Z http://irep.iium.edu.my/22593/ Measurement system to study the relationship between forearm EMG signals and hand grip force Sidek, Shahrul Naim Haja Mohideen, Ahmad Jazlan TA164 Bioengineering Hand grip force, wrist flexion and wrist extension are the result of forearm muscle activity. In certain applications such as controlling the movements of a robotic prosthetic hand, information relating wrist joint angles to forearm muscle activity is useful to be used as part of the control algorithm. In this paper, we study the relationship between the muscular activity of forearm muscles and wrist joint angles/position while hand grip force is varied. In order to do that, an electronic circuit was constructed to amplify and filter the electromyogram (EMG) signals measured from the Flexor Carpi Radialis (FCR), Flexor Digitorum Superficialis (FDS) and Extensor Digitorum Communis (EDC). Neural networks were used to model the relationship between EMG signals and wrist joint angle data at different hand grip strength levels. The performances of the networks were indicated by the corresponding Mean Absolute Error values. 2012-02 Conference or Workshop Item PeerReviewed application/pdf en http://irep.iium.edu.my/22593/1/ICOBE2012_EMG_grip_force.pdf application/pdf en http://irep.iium.edu.my/22593/4/Measurement_system_to_study_the_relationship_between_forearm_EMG_signals_and_wrist_position_at_varied_hand_grip_force.pdf Sidek, Shahrul Naim and Haja Mohideen, Ahmad Jazlan (2012) Measurement system to study the relationship between forearm EMG signals and hand grip force. In: International Conference on Biomedical Engineering (ICoBE2012), 27-28 Feb. 2012, Perlis. http://dx.doi.org/10.1109/ICoBE.2012.6178999
repository_type Digital Repository
institution_category Local University
institution International Islamic University Malaysia
building IIUM Repository
collection Online Access
language English
English
topic TA164 Bioengineering
spellingShingle TA164 Bioengineering
Sidek, Shahrul Naim
Haja Mohideen, Ahmad Jazlan
Measurement system to study the relationship between forearm EMG signals and hand grip force
description Hand grip force, wrist flexion and wrist extension are the result of forearm muscle activity. In certain applications such as controlling the movements of a robotic prosthetic hand, information relating wrist joint angles to forearm muscle activity is useful to be used as part of the control algorithm. In this paper, we study the relationship between the muscular activity of forearm muscles and wrist joint angles/position while hand grip force is varied. In order to do that, an electronic circuit was constructed to amplify and filter the electromyogram (EMG) signals measured from the Flexor Carpi Radialis (FCR), Flexor Digitorum Superficialis (FDS) and Extensor Digitorum Communis (EDC). Neural networks were used to model the relationship between EMG signals and wrist joint angle data at different hand grip strength levels. The performances of the networks were indicated by the corresponding Mean Absolute Error values.
format Conference or Workshop Item
author Sidek, Shahrul Naim
Haja Mohideen, Ahmad Jazlan
author_facet Sidek, Shahrul Naim
Haja Mohideen, Ahmad Jazlan
author_sort Sidek, Shahrul Naim
title Measurement system to study the relationship between forearm EMG signals and hand grip force
title_short Measurement system to study the relationship between forearm EMG signals and hand grip force
title_full Measurement system to study the relationship between forearm EMG signals and hand grip force
title_fullStr Measurement system to study the relationship between forearm EMG signals and hand grip force
title_full_unstemmed Measurement system to study the relationship between forearm EMG signals and hand grip force
title_sort measurement system to study the relationship between forearm emg signals and hand grip force
publishDate 2012
url http://irep.iium.edu.my/22593/
http://irep.iium.edu.my/22593/
http://irep.iium.edu.my/22593/1/ICOBE2012_EMG_grip_force.pdf
http://irep.iium.edu.my/22593/4/Measurement_system_to_study_the_relationship_between_forearm_EMG_signals_and_wrist_position_at_varied_hand_grip_force.pdf
first_indexed 2023-09-18T20:34:23Z
last_indexed 2023-09-18T20:34:23Z
_version_ 1777408948015464448

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