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
Link To Document :
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