A Novel Personal Identity Verification Approach Using a Discrete Wavelet Transform of the ECG Signal

• Published in: 2008 International Conference on Multimedia and Ubiquitous Engineering (mue 2008) pp. 201 - 206
• Main Authors: Chuang-Chien Chiu, Chou-Min Chuang, Chih-Yu Hsu
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01.04.2008
• Subjects: Biometric identification system; Biometrics; Discrete Wavelet Transform; Discrete wavelet transforms; Electrocardiogram; Electrocardiography; Feature extraction; Humans; Identity Verification; Information security; Real time systems; Signal processing; Spatial databases; Wavelet coefficients
• ISBN: 9780769531342; 0769531342
• DOI: 10.1109/MUE.2008.67

The purpose of this research is to develop a real time system for individual verification with the electrocardiogram (ECG) signal. The ECG signal varies from person to person and it can be used as a new biometric for individual verification. The discrete wavelet transform extract signal features by wavelet coefficients of one-lead ECG signal. Using the proposed approach on 35 normal subjects and 10 arrhythmia patients, 100% verification rate was obtained for normal subjects and 81% verification rate for arrhythmia patients. Furthermore, the performance of the ECG verification system was evaluated by the false acceptance rate (FAR) and false rejection rate (FRR). The FAR was 0.83% and FRR was 0.86%for a database containing only 35 normal subjects. When 10 arrhythmia patients were added into the database, the FAR became 12.50% and the FRR 5.11%. The experimental results demonstrate that the proposed system works very well for normal subjects.