EMG-based upper-limb rehabilitation via music synchronization with augmented reality

Stroke is one cause of death and long-term disability worldwide. Effective rehabilitation requires repetitive and intense practice. It challenges to motivate the patient to complete this intensive therapy as the patients are often boring and having no motivation. Therefore, an augmented reality musi...

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Main Authors: Boonyarat Viriyasaksathian, Sarawin Khemmachotikun, Panya Kaimuk, Yodchanan Wongsawat
Other Authors: Mahidol University
Format: Conference or Workshop Item
Published: 2018
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Online Access:https://repository.li.mahidol.ac.th/handle/123456789/11741
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spelling th-mahidol.117412018-05-03T15:08:29Z EMG-based upper-limb rehabilitation via music synchronization with augmented reality Boonyarat Viriyasaksathian Sarawin Khemmachotikun Panya Kaimuk Yodchanan Wongsawat Mahidol University Computer Science Stroke is one cause of death and long-term disability worldwide. Effective rehabilitation requires repetitive and intense practice. It challenges to motivate the patient to complete this intensive therapy as the patients are often boring and having no motivation. Therefore, an augmented reality musical system using EMG signals as input is proposed in this study. The idea is to employ a combination of the augmented reality game, biofeedback technology and the effects of music therapy in order to attract the patient's attention. Linear prediction filter method is applied to verify the effect of music to the attention level. The result demonstrates that the effect of music can increase subject's attention. © 2011 IEEE. 2018-05-03T08:08:28Z 2018-05-03T08:08:28Z 2011-12-01 Conference Paper 2011 IEEE International Conference on Robotics and Biomimetics, ROBIO 2011. (2011), 2856-2859 10.1109/ROBIO.2011.6181738 2-s2.0-84860737778 https://repository.li.mahidol.ac.th/handle/123456789/11741 Mahidol University SCOPUS https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84860737778&origin=inward
institution Mahidol University
building Mahidol University Library
continent Asia
country Thailand
Thailand
content_provider Mahidol University Library
collection Mahidol University Institutional Repository
topic Computer Science
spellingShingle Computer Science
Boonyarat Viriyasaksathian
Sarawin Khemmachotikun
Panya Kaimuk
Yodchanan Wongsawat
EMG-based upper-limb rehabilitation via music synchronization with augmented reality
description Stroke is one cause of death and long-term disability worldwide. Effective rehabilitation requires repetitive and intense practice. It challenges to motivate the patient to complete this intensive therapy as the patients are often boring and having no motivation. Therefore, an augmented reality musical system using EMG signals as input is proposed in this study. The idea is to employ a combination of the augmented reality game, biofeedback technology and the effects of music therapy in order to attract the patient's attention. Linear prediction filter method is applied to verify the effect of music to the attention level. The result demonstrates that the effect of music can increase subject's attention. © 2011 IEEE.
author2 Mahidol University
author_facet Mahidol University
Boonyarat Viriyasaksathian
Sarawin Khemmachotikun
Panya Kaimuk
Yodchanan Wongsawat
format Conference or Workshop Item
author Boonyarat Viriyasaksathian
Sarawin Khemmachotikun
Panya Kaimuk
Yodchanan Wongsawat
author_sort Boonyarat Viriyasaksathian
title EMG-based upper-limb rehabilitation via music synchronization with augmented reality
title_short EMG-based upper-limb rehabilitation via music synchronization with augmented reality
title_full EMG-based upper-limb rehabilitation via music synchronization with augmented reality
title_fullStr EMG-based upper-limb rehabilitation via music synchronization with augmented reality
title_full_unstemmed EMG-based upper-limb rehabilitation via music synchronization with augmented reality
title_sort emg-based upper-limb rehabilitation via music synchronization with augmented reality
publishDate 2018
url https://repository.li.mahidol.ac.th/handle/123456789/11741
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