Integration of tilt sensors as a device for monitoring rehabilitation process
This paper proposes a post-stroke rehabilitation system for hemiparetic-arm based on the application of tilt sensors. The study focuses on designing, developing and simulating the results. The result is documented for the purpose of post-processing and progressive status tracking. The subject needs...
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uthm-97692018-08-13T03:32:50Z Integration of tilt sensors as a device for monitoring rehabilitation process Salim, Safyzan Wan Zakaria, Wan Nurshazwani Nizhan, Azrai Abdul Jamil, M, Mahadi QA76 Computer software This paper proposes a post-stroke rehabilitation system for hemiparetic-arm based on the application of tilt sensors. The study focuses on designing, developing and simulating the results. The result is documented for the purpose of post-processing and progressive status tracking. The subject needs to wear a set of sensors over the palm while performing a few basics arm movement. The data will be converted into series of readable data and will be displayed on android based smart phone. The experiment demonstrates the capabilities of the sensors to produce extended information regarding hand movement activities. It is believed that the system offers more information than conventional method and also the ability to improve training quality, results and patients progress. For initial proof of concept, the system will be tested to a healthy normal subject. 2014 Conference or Workshop Item PeerReviewed http://ieeexplore.ieee.org/document/7072721/ Salim, Safyzan and Wan Zakaria, Wan Nurshazwani and Nizhan, Azrai and Abdul Jamil, M, Mahadi (2014) Integration of tilt sensors as a device for monitoring rehabilitation process. In: 2014 IEEE International Conference on Control System, Computing and Engineering, 28 - 30 November 2014, Penang, Malaysia, 28-30 Nov. 2014, Batu Ferringhi, Malaysia. http://eprints.uthm.edu.my/9769/ |
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Universiti Tun Hussein Onn Malaysia |
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QA76 Computer software |
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QA76 Computer software Salim, Safyzan Wan Zakaria, Wan Nurshazwani Nizhan, Azrai Abdul Jamil, M, Mahadi Integration of tilt sensors as a device for monitoring rehabilitation process |
description |
This paper proposes a post-stroke rehabilitation system for hemiparetic-arm based on the application of tilt sensors. The study focuses on designing, developing and simulating the results. The result is documented for the purpose of post-processing and progressive status tracking. The subject needs to wear a set of sensors over the palm while performing a few basics arm movement.
The data will be converted into series of readable data and will be displayed on android based smart phone. The experiment demonstrates the capabilities of the sensors to produce extended information regarding hand movement activities. It is believed that the system offers more information than conventional method and also the ability to improve training quality, results and patients progress. For initial proof of concept, the system will be tested to a healthy normal subject. |
format |
Conference or Workshop Item |
author |
Salim, Safyzan Wan Zakaria, Wan Nurshazwani Nizhan, Azrai Abdul Jamil, M, Mahadi |
author_facet |
Salim, Safyzan Wan Zakaria, Wan Nurshazwani Nizhan, Azrai Abdul Jamil, M, Mahadi |
author_sort |
Salim, Safyzan |
title |
Integration of tilt sensors as a device for monitoring rehabilitation process |
title_short |
Integration of tilt sensors as a device for monitoring rehabilitation process |
title_full |
Integration of tilt sensors as a device for monitoring rehabilitation process |
title_fullStr |
Integration of tilt sensors as a device for monitoring rehabilitation process |
title_full_unstemmed |
Integration of tilt sensors as a device for monitoring rehabilitation process |
title_sort |
integration of tilt sensors as a device for monitoring rehabilitation process |
publishDate |
2014 |
url |
http://ieeexplore.ieee.org/document/7072721/ http://ieeexplore.ieee.org/document/7072721/ |
first_indexed |
2018-09-05T11:53:34Z |
last_indexed |
2018-09-05T11:53:34Z |
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1610768360123924480 |