An innovative intelligent system based on automatic diagnostic feature extraction for diagnosing heart diseases

作者：

Highlights：

• An innovative intelligent system is proposed for diagnosing heart diseases.

• A novel procedure is proposed for automatically extracting S1 and S2.

• A novel frequency feature matrix (FFM) is defined and automatically extracted.

• PCA-based diagnostic features y1 and y2 are generated from the FFM.

• SVM-based generated classifiers are used to diagnose heart diseases.

摘要

•An innovative intelligent system is proposed for diagnosing heart diseases.•A novel procedure is proposed for automatically extracting S1 and S2.•A novel frequency feature matrix (FFM) is defined and automatically extracted.•PCA-based diagnostic features y1 and y2 are generated from the FFM.•SVM-based generated classifiers are used to diagnose heart diseases.

论文关键词：Heart sound,STMHT,SES1 and SES2,PCA,Boundary curve

论文评审过程：Received 24 February 2014, Revised 7 July 2014, Accepted 1 December 2014, Available online 9 December 2014.

论文官网地址：https://doi.org/10.1016/j.knosys.2014.12.001