Proceedings of the KOSOMBE Conference (대한의용생체공학회:학술대회논문집)

The Korean Society of Medical and Biological Engineering (대한의용생체공학회)
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A Study for the Analysis of EEG Signals Evoked by Auditory Stimulus using Wavelet Transformations

Wavelet변환을 이용한 청각자극에 의해 유발되는 뇌파의 분석에 관한 연구

  • Kim, J.H. (Department of Biomedical Engineering, Inje University) ;
  • Yoo, I.H. (Department of Biomedical Engineering, Inje University) ;
  • Shin, J.W. (Department of Biomedical Engineering, Inje University) ;
  • Im, J.J. (Department of Biomedical Engineering, Inje University) ;
  • Whang, M.C. (Ergonomics Laboratory, Korea Research Institute of Standards and Science) ;
  • Kim, C.J. (Ergonomics Laboratory, Korea Research Institute of Standards and Science)
  • 김정환 (인제대학교 보건대학 의용공학과) ;
  • 유일회 (인제대학교 보건대학 의용공학과) ;
  • 신정욱 (인제대학교 보건대학 의용공학과) ;
  • 임재중 (인제대학교 보건대학 의용공학과) ;
  • 황민철 (한국표준과학연구원 인간공학연구실) ;
  • 김철중 (한국표준과학연구원 인간공학연구실)
  • Published : 1996.11.15
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Abstract

We are exposed to the various external stimuli input from the environment, which cause emotional changes based on the characteristics of the stimuli. Unfortunately, there are no quantitative results on relationship between human sensibility and the characteristics of physiological signals. The objective of this study was to quantify EEG signals evoked by auditory stimulation based on the assumption that the analysis of the variability on the characteristics of the EEG waveform may provide the significant information regarding changes in psychological states of the subject. The experiment was devised with seven experimental conditions, which are control and six different types of auditory stimulation. Twenty subjects were used to obtain EEGs while introducing auditory stimulation. Wavelet transformation was employed to analyze the EEG signals. The results showed that the reconstructed signals at the decomposition level revealed the different energy value on the EEG signals. Also, general patterns of EEG signals in rest state compare with negative and positive stimulus were found. This study could be extended to estabilish an algorithm which distinguishes psychophysiological states of the subjects exposed to the auditory stimulation.

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