Proceedings of the IEEK Conference (대한전자공학회:학술대회논문집)

The Institute of Electronics and Information Engineers (대한전자공학회)
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Algorithm of an automated auditory brainstem response neonatal hearing screening method

신생아를 대상으로한 청성뇌간유발반응의 자동 판독 알고리즘

  • Jung, Won-Hyuk (The Graduate Program in Biomedical Engineering The Graduate School Yonsei University) ;
  • Hong, Hyun-Ki (The Graduate Program in Biomedical Engineering The Graduate School Yonsei University) ;
  • Kim, Sung-Woo (The Graduate Program in Biomedical Engineering The Graduate School Yonsei University) ;
  • Kim, Jin-Tae (The Graduate Program in Biomedical Engineering The Graduate School Yonsei University) ;
  • Park, Joong-Hoon (The Graduate Program in Biomedical Engineering The Graduate School Yonsei University) ;
  • Kim, Deok-Won (Dept. of Medical Engineering, Yonsei University College of Medicine)
  • 정원혁 (연세대학교 일반대학원 생체공학협동과) ;
  • 홍현기 (연세대학교 일반대학원 생체공학협동과) ;
  • 김성우 (연세대학교 일반대학원 생체공학협동과) ;
  • 김진태 (연세대학교 일반대학원 생체공학협동과) ;
  • 박중훈 (연세대학교 일반대학원 생체공학협동과) ;
  • 김덕원 (연세대학교 의과대학 의학공학교실)
  • Published : 2006.06.21
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Abstract

In this paper, we propose an algorithm that applies Rolle's theorem to automatically detect and label peak III and V of the normal, suprathreshold auditory brainstem response (ABR). ABR waveform were recorded from 55 normal-hearing ears at screening levels varying from 30 to 60 dBnHL. For each ABR waveform, the peak-finding algorithm proceeded in fourth steps: (1) Select maximum and minimum values of the target ABR waveform, (2) divide this range into n equal parts, (3) effective candidate peaks in the ABR waveform are identified using Rolle's theorem (4) peak III and V are identified from these candidate peaks based on their latency and morphology. As a result, proposed auto dectection method showed high correlation and accuracy with manual detection method performed by clinician. By using proposed algorithm, clinician can detect and label peak III and V faster and more efficient than manual detection method.

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