DocumentCode
1721663
Title
EEG feedback training for upper-limb rehabilitation
Author
Viriyasaksathian, Boonyarat ; Khemmachotikun, Sarawin ; Puanhvuan, Dilok ; Kaimuk, Panya ; Wongsawat, Yodchanan
Author_Institution
Dept. of Biomed. Eng., Mahidol Univ., Nakorn Pathom, Thailand
fYear
2011
Firstpage
1567
Lastpage
1572
Abstract
One benefit of using biofeedback treatment in stroke rehabilitation is the efficiency assistant for the patients to relearn to control their own bodies by themselves as well as encourages them to pay attention during rehabilitation process and improves their morale. This article proposes biofeedback system for upper-limb stroke rehabilitation that supports both planar and anti-gravity. The prototype system combines passive modalities with the active exercise to help patient relearn to control their joints in shoulder and muscles as much as possible. Electroencephalogram (EEG) based on ERD/ERS phenomena are employed to control our homemade prototype hardware for rehabilitation exercise. With our simple algorithm, the maximum of 96% accuracy can be obtained. Approximately 80% of the average classification accuracy can be achieved.
Keywords
computer based training; electroencephalography; handicapped aids; human computer interaction; human factors; medical signal processing; patient rehabilitation; EEG feedback training; ERD-ERS phenomena; biofeedback treatment; electroencephalogram; morale improvement; rehabilitation exercise; upper-limb stroke rehabilitation; Biological control systems; DC motors; Electrodes; Electroencephalography; Hardware; Muscles; Prototypes;
fLanguage
English
Publisher
ieee
Conference_Titel
Robotics and Biomimetics (ROBIO), 2011 IEEE International Conference on
Conference_Location
Karon Beach, Phuket
Print_ISBN
978-1-4577-2136-6
Type
conf
DOI
10.1109/ROBIO.2011.6181512
Filename
6181512
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