International Journal of Electrical, Electronics and Data Communication (IJEEDC)
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Statistics report
Apr. 2024
Submitted Papers : 80
Accepted Papers : 10
Rejected Papers : 70
Acc. Perc : 12%
Issue Published : 133
Paper Published : 1712
No. of Authors : 4737
  Journal Paper


Paper Title :
Development of EEG Data Acquisition System and Analysis of EEG Signal for Motor Imagery based BCI

Author :S.Shenbaga Devi, B.Eswari, Arulselvan

Article Citation :S.Shenbaga Devi ,B.Eswari ,Arulselvan , (2018 ) " Development of EEG Data Acquisition System and Analysis of EEG Signal for Motor Imagery based BCI " , International Journal of Electrical, Electronics and Data Communication (IJEEDC) , pp. 12-22, Volume-6,Issue-3

Abstract : Brain Computer Interface enables the brains neural activity to communicate with external devices to control them like to control machines, artificial limbs and robots to control movements, to control functional electrical stimulators, etc. [1]. But the real challenges faced by the researchers are acquisition of the required signal according to the user intention. The feature selection for the classification is also very important. In this paper, the acquisition and analysis of EEG signal for BCI application is discussed. In our research work, we acquire motor imagery EEG signal from normal subjects and a number of features are extracted to find the best feature for classification of motor imagery. In that ERD features give better classification results compared to the other features. Keywords - Electroencephalograph, BCI, motor imagery, ERD.

Type : Research paper

Published : Volume-6,Issue-3


DOIONLINE NO - IJEEDC-IRAJ-DOIONLINE-11407   View Here

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