Heart Sound Biometric System Based on Marginal Spectrum Analysis

被引：23
|
作者：
Zhao, Zhidong [1 ]
Shen, Qinqin [2 ]
Ren, Fangqin [2 ]
机构：
[1] HangZhou DianZi Univ, Coll Elect & Informat, Hangzhou 310018, Peoples R China
[2] HangZhou DianZi Univ, Coll Commun Engn, Hangzhou 310018, Peoples R China
来源：
SENSORS | 2013年 / 13卷 / 02期
基金：
中国国家自然科学基金;
关键词：
heart sound identification system; EEMD; HHT; feature extraction; marginal spectrum; IDENTIFICATION; ALGORITHM;
D O I：
10.3390/s130202530
中图分类号：
O65 [分析化学];
学科分类号：
070302 ; 081704 ;
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.
引用
收藏
页码：2530 / 2551
页数：22
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