A Study for the Effect of Electrical Stimulation on ABR and ECochG

전기자극이 ABR과 ECochG에 미치는 영향에 관한 연구

  • Kim, K.S. (Dept. of Biomedical Engineering, College of Health Sciences, Inje University) ;
  • Park, J.W. (Dept. of Biomedical Engineering, College of Health Sciences, Inje University) ;
  • Im, J.J. (Dept. of Biomedical Engineering, College of Health Sciences, Inje University) ;
  • Moon, I.H. (Dept, of Otolaryngology, College of Medicine, Inje University) ;
  • Jeon, B.H. (Dept, of Otolaryngology, College of Medicine, Inje University)
  • 김경식 (인제대학교 보건대학 의용공학과) ;
  • 박진우 (인제대학교 보건대학 의용공학과) ;
  • 임재중 (인제대학교 보건대학 의용공학과) ;
  • 문인희 (인제대학교 의과대학 이비인후과교실) ;
  • 전병훈 (인제대학교 의과대학 이비인후과교실)
  • Published : 1996.11.15

Abstract

Use of electrical stimulation for diagnosis and treatment of pyhsiolgocial impairment on the auditory system was reported by many researchers since 1800. Unfortunately, there were no standard methods or theoretical bakground for choosing stimulus conditions because of the lack of understanding on the transmission of sound through the auditory pathways. Therefore, if we could find the mechanisms of normal and abnormal functions for the system objectively, it may be possible to establish the conditions for the appropriate treatment This study was devised with three experimental conditions of electrical stimulation(0.1, 1, and 10mA) to verify the effect of electrical stimulation on the auditory system. ABRs and ECochGs were obtained from 3 Guinea Pigs before and after each stimulation, and five parameters were extracted from ABR and ECochG waveforms. The results showed that the mean differences of the first peaks of ABR, I, before and after all the stimulus conditions were significant at the significant level of p<0.05. Also, amplitude of ECochGs peak(AP) showed higher degrees of differences for the electrical stimulation than that of ABRs. Based on the results of this experiment establishment of an electrical model which characterizes the auditory system could be achieved by computer simulation. This will lead to the design of most accurate model for the real auditory system, which provide the quantitive information regarding diagnosis and treatment.

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