블루투스 기반 휴대용 무선 EEG 측정시스템의 개발
The development of a bluetooth based portable wireless EEG measurement device
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초록
Since the interest of a brain science research is increased recently, various devices using brain waves have been developed in the field of brain training game, education application and brain computer interface. In this paper, we have developed a portable EEG measurement and a bluetooth based wireless transmission device measuring brain waves from the frontal lob simply and conveniently. The low brain signals about 10∼100μV was amplified into several volts and low pass, high pass and notch filter were designed for eliminating unwanted noise and 60Hz power noise. Also, PIC24F192 microcontroller has been used to convert analog brain signal into digital signal and transmit the signal into personal computer wirelessly. The sampling rate of 1KHz and bluetooth based wireless transmission with 38,400bps were used. The LabVIEW programing was used to receive and monitor the brain signals. The power spectrum of commercial biopac MP100 and that of a developed EEG system was compared for performance verification after the simulation signals of sine waves of 1㎶, 0∼200Hz was inputed and processed by FFT transformation. As a result of comparison, the developed system showed good performance because frequency response of a developed system was similar to that of a commercial biopac MP100 inside the range of 30Hz specially.
Abstract
Since the interest of a brain science research is increased recently, various devices using brain waves have been developed in the field of brain training game, education application and brain computer interface. In this paper, we have developed a portable EEG measurement and a bluetooth based wireless transmission device measuring brain waves from the frontal lob simply and conveniently. The low brain signals about 10∼100μV was amplified into several volts and low pass, high pass and notch filter were designed for eliminating unwanted noise and 60Hz power noise. Also, PIC24F192 microcontroller has been used to convert analog brain signal into digital signal and transmit the signal into personal computer wirelessly. The sampling rate of 1KHz and bluetooth based wireless transmission with 38,400bps were used. The LabVIEW programing was used to receive and monitor the brain signals. The power spectrum of commercial biopac MP100 and that of a developed EEG system was compared for performance verification after the simulation signals of sine waves of 1㎶, 0∼200Hz was inputed and processed by FFT transformation. As a result of comparison, the developed system showed good performance because frequency response of a developed system was similar to that of a commercial biopac MP100 inside the range of 30Hz specially.
참고문헌 (5)
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- 김영주, "EEG와 EMG의 Coherence을 이용한 BCI 연구", 대한인간공학회지, 27(2), pp.9~14 (2008), 대한인간공학회
- Eung Je Woo, "Biopotential signal measrement, processing and Analysis", Jouranl of the Korean Society of Precision Engineering, 21(4) (2004)
- 조 성 필, "최소 제곱 가속 기반의 적응 디지털 필터를 이용한 두피 뇌전도에서의 심전도 잡음 추정 및 제거", 전기학회논문지ABCD, 56(7), pp.1331~1338 (2007), 대한전기학회