Journal of Biomedical Engineering Research (대한의용생체공학회:의공학회지)

The Korean Society of Medical and Biological Engineering (대한의용생체공학회)
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Performance Evaluation of EEG-BCI Interface Algorithm in BCI(Brain Computer Interface)-Naive Subjects

뇌컴퓨터접속(BCI) 무경험자에 대한 EEG-BCI 알고리즘 성능평가

  • Kim, Jin-Kwon (Department of Electrical and Electronic Engineering, Yonsei University) ;
  • Kang, Dae-Hun (Department of Electrical and Electronic Engineering, Yonsei University) ;
  • Lee, Young-Bum (Department of Electrical and Electronic Engineering, Yonsei University) ;
  • Jung, Hee-Gyo (Electronic Medical Devices Division, Korea Food & Drug Administration) ;
  • Lee, In-Su (Electronic Medical Devices Division, Korea Food & Drug Administration) ;
  • Park, Hae-Dae (Electronic Medical Devices Division, Korea Food & Drug Administration) ;
  • Kim, Eun-Ju (Electronic Medical Devices Division, Korea Food & Drug Administration) ;
  • Lee, Myoung-Ho (Department of Electrical and Electronic Engineering, Yonsei University)
  • 김진권 (연세대학교 전기전자공학과) ;
  • 강대훈 (연세대학교 전기전자공학과) ;
  • 이영범 (연세대학교 전기전자공학과) ;
  • 정희교 (식품의약품안전청 전자의료기기과) ;
  • 이인수 (식품의약품안전청 전자의료기기과) ;
  • 박해대 (식품의약품안전청 전자의료기기과) ;
  • 김은주 (식품의약품안전청 전자의료기기과) ;
  • 이명호 (연세대학교 전기전자공학과)
  • Published : 2009.10.31
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Abstract

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.

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References

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