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뇌컴퓨터접속(BCI) 무경험자에 대한 EEG-BCI 알고리즘 성능평가
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  • 뇌컴퓨터접속(BCI) 무경험자에 대한 EEG-BCI 알고리즘 성능평가
저자명
김진권,강대훈,이영범,정희교,이인수,박해대,김은주,이명호,Kim. Jin-Kwon,Kang. Dae-Hun,Lee. Young-Bum,Jung. Hee-Gyo,Lee. In-Su,Park. Hae-Dae,Kim. Eun-Ju,Le
간행물명
Journal of biomedical engineering research : the official journal of the Korean Society of Medical & Biological Engineering
권/호정보
2009년|30권 5호|pp.428-437 (10 pages)
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대한의용생체공학회
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이 논문은 한국과학기술정보연구원과 논문 연계를 통해 무료로 제공되는 원문입니다.
서지반출

기타언어초록

The Performance research about EEG-BCI algorithm in BCI-naive subjects is very important for evaluating the applicability to the public. We analyzed the result of the performance evaluation experiment about the EEG-BCI algorithm in BCI-naive subjects on three different aspects. The EEG-BCI algorithm used in this paper is composed of the common spatial pattern(CSP) and the least square linear classifier. CSP is used for obtaining the characteristic of event related desynchronization, and the least square linear classifier classifies the motor imagery EEG data of the left hand or right hand. The performance evaluation experiments about EEG-BCI algorithm is conducted for 40 men and women whose age are 23.87${pm}$2.47. The performance evaluation about EEG-BCI algorithm in BCI-naive subjects is analyzed in terms of the accuracy, the relation between the information transfer rate and the accuracy, and the performance changes when the different types of cue were used in the training session and testing session. On the result of experiment, BCI-naive group has about 20% subjects whose accuracy exceed 0.7. And this results of the accuracy were not effected significantly by the types of cue. The Information transfer rate is in the inverse proportion to the accuracy. And the accuracy shows the severe deterioration when the motor imagery is less then 2 seconds.