ECG Analysis for Person Identification

被引：0

作者：

Pathoumvanh, Somsanouk ^{[1
]}

Airphaiboon, Surapan ^{[1
]}

Prapochanung, Benjawan ^{[1
]}

Leauhatong, Thurdsak ^{[1
]}

机构：

[1] King Mongkuts Inst Technol Ladkrabang, Dept Elect, Fac Engn, Bangkok 10520, Thailand

来源：

6TH BIOMEDICAL ENGINEERING INTERNATIONAL CONFERENCE (BMEICON 2013) | 2013年

关键词：

ECG Biometrics; Single Beat ECG features extraction; ECG Identifications;

D O I：

暂无

中图分类号：

R318 [生物医学工程];

学科分类号：

0831 ;

摘要：

Electrocardiogram (ECG) has been actively proposed as aliveness biometric. In this paper, the study which concern to a realistic application is proposed. Firstly, a single lead normal ECG signal is acquired from individuals of 10 subjects. Then, each single beat ECG is segmented and analyzed in Continuous Wavelet Transform (CWT) domain. Total energy of wavelet coefficients for each P, QRS, and T segment is calculated. Next, the Fisher Linear Discriminant Analysis (FLDA) is applied. Finally, normalized Euclidean distance is implemented as a classifier. In experimental results, 97% of classification accuracy is achieved in case of a normal ECG (with non-variation of heart rate).

引用

页数：4

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