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...
| Main Authors: | , |
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| Format: | Proceeding Paper |
| Language: | English English |
| Published: |
2012
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| Online Access: | 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 |
| _version_ | 1848779029433286656 |
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| author | Sidek, Shahrul Naim Haja Mohideen, Ahmad Jazlan |
| author_facet | Sidek, Shahrul Naim Haja Mohideen, Ahmad Jazlan |
| author_sort | Sidek, Shahrul Naim |
| building | IIUM Repository |
| collection | Online Access |
| 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. |
| first_indexed | 2025-11-14T15:11:17Z |
| format | Proceeding Paper |
| id | iium-22593 |
| institution | International Islamic University Malaysia |
| institution_category | Local University |
| language | English English |
| last_indexed | 2025-11-14T15:11:17Z |
| publishDate | 2012 |
| recordtype | eprints |
| repository_type | Digital Repository |
| 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 Proceeding Paper 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 |
| spellingShingle | TA164 Bioengineering Sidek, Shahrul Naim Haja Mohideen, Ahmad Jazlan Measurement system to study the relationship between forearm EMG signals and hand grip force |
| title | 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_short | 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 |
| topic | TA164 Bioengineering |
| 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 |