대한의용생체공학회:의공학회지 (Journal of Biomedical Engineering Research)

  • 제41권1호
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  • Pages.42-47
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  • 2020
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  • 1229-0807(pISSN)
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  • 2288-9396(eISSN)
대한의용생체공학회 (The Korean Society of Medical and Biological Engineering)
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귀 주변에서 측정한 유사 심전도 기반 개인 인증 시스템 개발 가능성

Feasibility of Using Similar Electrocardiography Measured around the Ears to Develop a Personal Authentication System

  • 최가영 (금오공과대학교 메디컬IT융합공학과) ;
  • 박종윤 (금오공과대학교 메디컬IT융합공학과) ;
  • 김다영 (금오공과대학교 메디컬IT융합공학과) ;
  • 김연우 (금오공과대학교 메디컬IT융합공학과) ;
  • 임지헌 (금오공과대학교 메디컬IT융합공학과) ;
  • 황한정 (금오공과대학교 메디컬IT융합공학과)
  • Choi, Ga-Young (Kumoh National Institute of Technology, Medical IT Convergence Engineering) ;
  • Park, Jong-Yoon (Kumoh National Institute of Technology, Medical IT Convergence Engineering) ;
  • Kim, Da-Yeong (Kumoh National Institute of Technology, Medical IT Convergence Engineering) ;
  • Kim, Yeonu (Kumoh National Institute of Technology, Medical IT Convergence Engineering) ;
  • Lim, Ji-Heon (Kumoh National Institute of Technology, Medical IT Convergence Engineering) ;
  • Hwang, Han-Jeong (Kumoh National Institute of Technology, Medical IT Convergence Engineering)
  • 투고 : 2019.12.17
  • 심사 : 2020.02.19
  • 발행 : 2020.02.29
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초록

A personal authentication system based on biosignals has received increasing attention due to its relatively high security as compared to traditional authentication systems based on a key and password. Electrocardiography (ECG) measured from the chest or wrist is one of the widely used biosignals to develop a personal authentication system. In this study, we investigated the feasibility of using similar ECG measured behind the ears to develop a personal authentication system. To this end, similar ECGs were measured from thirty subjects using a pair of three electrodes attached behind each of the ears during resting state during which the standard Lead-I ECG was also simultaneously measured from both wrists as baseline ECG. The three ECG components, Q, R, and S, were extracted for each subject as classification features, and authentication accuracy was estimated using support vector machine (SVM) based on a 5×5-fold cross-validation. The mean authentication accuracies of Lead I-ECG and similar ECG were 90.41 ± 8.26% and 81.15 ± 7.54%, respectively. Considering a chance level of 3.33% (=1/30), the mean authentication performance of similar ECG could demonstrate the feasibility of using similar ECG measured behind the ears on the development of a personal authentication system.

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