Heart Sound Biometric System Based on Marginal Spectrum Analysis

Sensors

Zhidong Zhao¹  Qinqin Shen² 

[1] College of Electronics and Information, HangZhou DianZi University, Hangzhou 310018, China;College of Communication Engineering, HangZhou DianZi University, Hangzhou 310018, China; E-Mails:

关键词: heart sound identification system;    EEMD;    HHT;    feature extraction;    marginal spectrum;   

DOI  :  10.3390/s130202530

来源: mdpi

【 摘 要 】

This work presents a heart sound biometric system based on marginal spectrum analysis, which is a new feature extraction technique for identification purposes. This heart sound identification system is comprised of signal acquisition, pre-processing, feature extraction, training, and identification. Experiments on the selection of the optimal values for the system parameters are conducted. The results indicate that the new spectrum coefficients result in a significant increase in the recognition rate of 94.40% compared with that of the traditional Fourier spectrum (84.32%) based on a database of 280 heart sounds from 40 participants.

【 授权许可】

CC BY   
© 2013 by the authors; licensee MDPI, Basel, Switzerland.