대한의용생체공학회:의공학회지 (Journal of Biomedical Engineering Research)

  • 제31권5호
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  • Pages.365-374
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  • 2010
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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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생체 인식 시스템을 위한 심전도 개인인식 알고리즘 개발

Development of Electrocardiogram Identification Algorithm for a Biometric System

  • 이상준 (연세대학교 전기전자공학과) ;
  • 김진권 (연세대학교 전기전자공학과) ;
  • 이영범 (연세대학교 전기전자공학과) ;
  • 이명호 (연세대학교 전기전자공학과)
  • Lee, Sang-Joon (Department of Electrical and Electronic Engineering, Yonsei University) ;
  • Kim, Jin-Kwon (Department of Electrical and Electronic Engineering, Yonsei University) ;
  • Lee, Young-Bum (Department of Electrical and Electronic Engineering, Yonsei University) ;
  • Lee, Myoung-Ho (Department of Electrical and Electronic Engineering, Yonsei University)
  • 투고 : 2010.05.26
  • 심사 : 2010.08.24
  • 발행 : 2010.10.31
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초록

This paper is about the personal identification algorithm using an ECG that has been studied by a few researchers recently. Previously published algorithm can be classified as two methods. One is the method that analyzes ECG features and the other is the morphological analysis of ECG. The main characteristic of proposed algorithm uses together two methods. The algorithm consists of training and testing procedures. In training procedure, the features of all recognition objects' ECG were extracted and the PCA was performed for morphological analysis of ECG. In testing procedure, 6 candidate ECG's were chosen by morphological analysis and then the analysis of features among candidate ECG's was performed for final recognition. We choose 18 ECG files from MIT-BIH Normal Sinus Rhythm Database for estimating algorithm performance. The algorithm extracts 100 heartbeats from each ECG file, and use 40 heartbeats for training and 60 heartbeats for testing. The proposed algorithm shows clearly superior performance in all ECG data, amounting to 90.96% heartbeat recognition rate and 100% ECG recognition rate.

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참고문헌

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