Quantized Analysis for Heart Valve Disease based on Cardiac Sound Characteristic Waveform Method

摘要：

In order to analyze heart valve disease accurately and effectively, a new quantized diagnosis method was proposed to analyze four clinical heart valve sounds, namely cardiac sound characteristic waveform(CSCW). BJOPAC acquiring system was used to collect signal. The recorded data is transmitted to a computer by ethernet for storage . analysis and display in real-time. Analytical model of single degree-offreedom(SDOF) was established to extract characteristic waveform. Furthermore, diagnosis parameters were calculated to discriminate heart sound of normal and heart valve disease by easy-understanding graphical representation, so that, even for an inexperienced user is able to monitor his or her pathology progress easily. Finally, a case study on a heart valve disease patient before and after surgery is demonstrated to vabdate the usefulness and efficiency of the proposed method.

关键词： heart valve disease heart sound signal quarUiZed diagnosis cardiact sound characteristic waveform(CSCW)

作者: Hu Yuliang Qiao Junxuan Wang Haibin Wei Xiubo

作者单位: School of Electrical and Information Engineering,Xihua University Chengdu 610039, China Cardiovascular Disease Centre,The 452nd Hospital of People Liberation Army Chengdu 610021,China School of Electrical and Information Engineering Xihua University Chengdu610039, China Cardiovascular Disease Centre The 452nd Hospital of People Liberation Army Chengdu 610021,China

会议类型: 国际会议

会议名称: 2010 2nd International Conference on Signal Processing System(2010年信号处理系统国际会议 ICSPS 2010)

会议地点: 大连

会议语种:英文

页码: 258-262

在线出版日期: 2010-07-05（万方平台首次上网日期，不代表论文的发表时间）