Assessment of upper limb muscle tone level based on estimated impedance parameters
Many strategies have been developed by occupational and physical therapists for the assessment of poststroke patients’ upper limb muscle tone and physical recovery progress. Despite, having the appropriate skills, they face serious challenges in quantifying continuously, the patients’ recovery p...
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IEEE
2017
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| Online Access: | http://irep.iium.edu.my/53828/ http://irep.iium.edu.my/53828/ http://irep.iium.edu.my/53828/ http://irep.iium.edu.my/53828/19/53828-Assessment%20of%20Upper%20Limb%20Muscle%20Tone%20Level%20based.pdf http://irep.iium.edu.my/53828/13/Assessment%20of%20upper%20limb%20muscle%20tone%20level%20based%20on%20estimated%20impedance%20parameters.pdf |
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iium-538282019-01-10T04:53:38Z http://irep.iium.edu.my/53828/ Assessment of upper limb muscle tone level based on estimated impedance parameters Zaw, Zaw Lay Htoon Sidek, Shahrul Na'im Fatai, Sado Yunahar, Taufik TA164 Bioengineering Many strategies have been developed by occupational and physical therapists for the assessment of poststroke patients’ upper limb muscle tone and physical recovery progress. Despite, having the appropriate skills, they face serious challenges in quantifying continuously, the patients’ recovery progress. Moreover, the therapy has become more costly and time consuming since the patients are required to have a face-to-face contact with the therapist over a long period of time. By deploying robot-assisted rehabilitation therapy, some of these problems have been addressed, however, serious challenges still exist in the aspect of proper estimation and assessment of patients muscle tone level and recovery progress during rehabilitation therapy. This paper proposes an appropriate strategy for prediction and assessment of subjects’ muscle tone level and recovery based on the estimation of upper-limb mechanical impedance parameters. The subjects’ mechanical impedance parameters are estimated using a recursive least square estimator method and the muscle tone level are predicted by Artificial Neural Network (ANN) which has been trained using the estimated impedance parameters. Preliminary experimental result shows that the upper-limb impedance parameters can be estimated to an accuracy level of 90%, while simulation studies have revealed that the muscle tone level can be reliably predicted at 95.01% accuracy level. IEEE 2017-02-06 Conference or Workshop Item PeerReviewed application/pdf en http://irep.iium.edu.my/53828/19/53828-Assessment%20of%20Upper%20Limb%20Muscle%20Tone%20Level%20based.pdf application/pdf en http://irep.iium.edu.my/53828/13/Assessment%20of%20upper%20limb%20muscle%20tone%20level%20based%20on%20estimated%20impedance%20parameters.pdf Zaw, Zaw Lay Htoon and Sidek, Shahrul Na'im and Fatai, Sado and Yunahar, Taufik (2017) Assessment of upper limb muscle tone level based on estimated impedance parameters. In: IEEE-EMBS Conference of Biomedical, Engineering and Sciences (IECBES 2016), 4th-8th Dec. 2016, Kuala Lumpur. http://ieeexplore.ieee.org/document/7843549/ 10.1109/IECBES.2016.7843549 |
| 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 Zaw, Zaw Lay Htoon Sidek, Shahrul Na'im Fatai, Sado Yunahar, Taufik Assessment of upper limb muscle tone level based on estimated impedance parameters |
| description |
Many strategies have been developed by
occupational and physical therapists for the assessment of poststroke patients’ upper limb muscle tone and physical recovery
progress. Despite, having the appropriate skills, they face serious
challenges in quantifying continuously, the patients’ recovery
progress. Moreover, the therapy has become more costly and time
consuming since the patients are required to have a face-to-face
contact with the therapist over a long period of time. By deploying
robot-assisted rehabilitation therapy, some of these problems have
been addressed, however, serious challenges still exist in the aspect
of proper estimation and assessment of patients muscle tone level
and recovery progress during rehabilitation therapy. This paper
proposes an appropriate strategy for prediction and assessment of
subjects’ muscle tone level and recovery based on the estimation
of upper-limb mechanical impedance parameters. The subjects’
mechanical impedance parameters are estimated using a recursive
least square estimator method and the muscle tone level are
predicted by Artificial Neural Network (ANN) which has been
trained using the estimated impedance parameters. Preliminary
experimental result shows that the upper-limb impedance
parameters can be estimated to an accuracy level of 90%, while
simulation studies have revealed that the muscle tone level can be
reliably predicted at 95.01% accuracy level. |
| format |
Conference or Workshop Item |
| author |
Zaw, Zaw Lay Htoon Sidek, Shahrul Na'im Fatai, Sado Yunahar, Taufik |
| author_facet |
Zaw, Zaw Lay Htoon Sidek, Shahrul Na'im Fatai, Sado Yunahar, Taufik |
| author_sort |
Zaw, Zaw Lay Htoon |
| title |
Assessment of upper limb muscle tone level based on estimated impedance parameters |
| title_short |
Assessment of upper limb muscle tone level based on estimated impedance parameters |
| title_full |
Assessment of upper limb muscle tone level based on estimated impedance parameters |
| title_fullStr |
Assessment of upper limb muscle tone level based on estimated impedance parameters |
| title_full_unstemmed |
Assessment of upper limb muscle tone level based on estimated impedance parameters |
| title_sort |
assessment of upper limb muscle tone level based on estimated impedance parameters |
| publisher |
IEEE |
| publishDate |
2017 |
| url |
http://irep.iium.edu.my/53828/ http://irep.iium.edu.my/53828/ http://irep.iium.edu.my/53828/ http://irep.iium.edu.my/53828/19/53828-Assessment%20of%20Upper%20Limb%20Muscle%20Tone%20Level%20based.pdf http://irep.iium.edu.my/53828/13/Assessment%20of%20upper%20limb%20muscle%20tone%20level%20based%20on%20estimated%20impedance%20parameters.pdf |
| first_indexed |
2023-09-18T21:16:09Z |
| last_indexed |
2023-09-18T21:16:09Z |
| _version_ |
1777411575417667584 |