Automatic Heart Sound Segmentation Method Based on Cyclostationarity and Clustering

被引：0

作者：

Li, Ting ^{[1
]}

机构：

[1] Dalian Nationality Univ, Coll Informat & Commun Engn, Dalian 116600, Peoples R China

来源：

PROCEEDINGS OF THE 4TH INTERNATIONAL CONFERENCE ON MECHATRONICS, MATERIALS, CHEMISTRY AND COMPUTER ENGINEERING 2015 (ICMMCCE 2015) | 2015年 / 39卷

关键词：

Heart sound signal; Segmentation; Cyclostationary; Clustering;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

Segmenting heart sounds accurately is significant to determine the types and the severity of heart diseases. Using cyclostationary property of heart sounds and clustering method, the paper proposed an effective automatic segmentation algorithm of heart sound signals. This algorithm can segment normal heart sounds and abnormal heart sounds with medium murmur exactly. Simulation results show that this method is robust to noise, which is helpful to feature extraction, heart sound recognition and computer-aided diagnosis afterwards.

引用

页码：361 / 366

页数：6

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