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A Study on the Control System Implementation of Human Body Nerves Signal  

Ko, Duck-Young (Dept of Information and Communication Engineering)
Kim, Sung-Gon (Life Science Center, Wonkwang University)
Choi, Jong-Ho (Dept of Electronic System Engineering, Kangnam University)
Publication Information
전자공학회논문지 IE / v.43, no.1, 2006 , pp. 16-24 More about this Journal
Abstract
This paper is aimed to develope of an integrated BCI(Brain Computer Interface System) that make possible for simultaneous multichannel data process and used extra cellular neural activity from the vestibular system instead of electroencephalogram signals for more precision control. The electrical properties pre-amplifier are 47.6 dB of gain, 0.005 % of distortion at 100 Hz, 12M$\Omega$ of input impedance. Window discriminator used two CPU with difference role to increase processing speed so that sampling frequency was 87 kHz. The designed window discriminator has more not only two times in signal resolution power but also ten times in error discrimination power than commericially available discriminator. The proposed method decreases 100 times in amount of integrated data then BCI system during 100 ms.
Keywords
Brain Computer Interface; Multichannel data; Window discriminator; Precision control;
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