상세정보
학술지
ECG Authentication Based on Non-Linear Normalization under Various Physiological Conditions
- 발행일
- 202110
- 출처
- Sensors, v.21 no.21, pp.1-19
- ISSN
- 1424-8220
- 출판사
- MDPI
- 협약과제
- 21HR2800, 안전한 의료‧헬스케어 서비스를 위한 커넥티드 의료기기 해킹대응 핵심기술 개발, 권혁찬
- 초록
- The development and use of wearable devices require high levels of security and have sparked interest in biometric authentication research. Among the available approaches, electrocardiogram (ECG) technology is attracting attention because of its strengths in spoofing. However, morphological changes of ECG, which are affected by physical and psychological factors, can make authentication difficult. In this paper, we propose authentication using non-linear normalization of ECG beats that is robust to changes in ECG waveforms according to heart rate fluctuations in various daily activities. We performed a non-linear normalization method through the analysis of ECG alongside heart rate, evaluating similarities and authenticating the performance of our new method compared to existing methods. Compared with beats before normalization, the average similarity of the proposed method increased 23.7% in the resting state and 43% in the non-resting state. After learning in the resting state, authentication performance reached 99.05% accuracy for the resting state and 88.14% for the non-resting state. The proposed method can be applicable to an ECG-based authentication system under various physiological conditions.
- KSP 제안 키워드
- Authentication System, Biometric authentication, Daily activity, ECG authentication, ECG beats, Heart rate, Normalization method, Physiological conditions, Psychological factors, Resting-state, Wearable device
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