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Session 1 : ICT융합기술, 좌장 : 최영완(중앙대학교)

정상상태 시각 유발전위를 이용한 뇌전도 측정 시스템과 능동형 건식 전극 개발

원문정보

Development of System for EEG Signal Measurement and Active Dry-Elctrodes Using Steady-State Visually Evoked Potentials

임채영, 홍혁기, 김영환

피인용수 : 0(자료제공 : 네이버학술정보)

초록

영어

In this paper, we attempted in preparing high precision EEG signal measuring equipment. separation amplifier is essential to eliminate common line noise. So, our study were pointed at elevating the efficiency of eliminating noise, user safety and low noise characteristics. And converted data were Fast Fourier Transformed(FFT) with real time DSP (Digital Signal Processing). Steady-State Visually Evoked Potentials (SSVEP) are natural response signal associated with the visual stimuli with specific frequency. By using SSVEP, occipital lobe region is electrically activated as frequency form equivalent to stimuli frequency with bandwidth from 3.5Hz to 75Hz. In this paper, we propose an experimental paradigm for analyzing EEGs based on the properties of SSVEP. At first, an experiment is performed to extract frequency feature of EEGs that is measured from the image-based visual stimuli associated with specific objective with affordance. From the results, we can conclude that the developed active dry-electrode shows comparative performance to traditional Ag/AgCl electrodes. When considering the additional advantages of the developed electrodes, such as the convenience of use and ease of application to EEG measurement the developed electrode shows enormous potential as a replacement for the standard electrode for EEG monitoring in various ambulatory and hospital settings.

목차

Abstract
 I. 서론
 II. 본론
  1. 뇌전도(electroencephalogram, EEG)
  2. 정상상태시각유발전위
  3. 위상정류신호가산평균
 IV. 임베디드 뇌전도 획득 시스템과 능동건식 전극
 V. 측정결과 분석 및 고찰
 VI. 결론
 감사의 글
 참고 문 헌

저자정보

  • 임채영 Chae-Young Lim. KETI 메디컬IT융합연구센터
  • 홍혁기 Hyuck-Ki Hong. KETI 메디컬IT 융합연구센터 책임 연구원, 차세대의료기기팀장
  • 김영환 Young-Hwan Kim. KETI 메디컬IT융합연구센터팀장

참고문헌

자료제공 : 네이버학술정보

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