Individual identification based on chaotic electrocardiogram signals during muscular exercise

• Published in: IET biometrics Vol. 3; no. 4; pp. 257 - 266
• Main Authors: Lin, Shyan-Lung, Chen, Ching-Kun, Lin, Chun-Liang, Yang, Wen-Chan, Chiang, Cheng-Tang
• Format: Journal Article
• Language: English
• Published: Stevenage The Institution of Engineering and Technology 01.12.2014; John Wiley & Sons, Inc
• Subjects: Biometric identification; biometric verification; Biometrics; biometrics (access control); cardiac cells; cardiac signal; Chaos theory; chaotic electrocardiogram signals; correlation dimension; correlation methods; Data compression; ECG features; EKG; Electric potential; Electrocardiography; Feasibility studies; Feature recognition; Fourier transforms; Heart; Heart rate; Kernel functions; Liapunov exponents; Lyapunov exponents; Lyapunov methods; mean square error methods; medical signal processing; Morphology; muscular exercise; Neural networks; nonlinear Lyapunov exponent; Nonlinearity; non‐invasive method; personal identification; polynomial kernel function; Polynomials; root mean square value; Signal processing; specific biological characteristics; support vector machine; Support vector machines; SVM; System theory; Time series; Wavelet transforms; Israel; ECG features; cardiac cells; heart rate; support vector machines; correlation dimension; root mean square value; biometric verification; personal identification; SVM; biometrics (access control); electric potential; electrocardiography; non-invasive method; medical signal processing; chaotic electrocardiogram signals; support vector machine; nonlinear Lyapunov exponent; cardiac signal; polynomial kernel function; muscular exercise; mean square error methods; specific biological characteristics; Lyapunov methods; correlation methods

An electrocardiogram (ECG) records changes in the electric potential of cardiac cells using a noninvasive method. Previous studies have shown that each person's cardiac signal possesses unique characteristics. Thus, researchers have attempted to use ECG signals for personal identification. Howe...