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Quantized analysis for heart valve disease based on cardiac sound characteristic waveform method

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4 Author(s)
Hu Yuliang ; School of Electrical and Information Engineering, Xihua University, Chengdu 610039, China ; Qiao Junxuan ; Wang Haibin ; Wei Xiubo

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). BIOPAC 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-of-freedom(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 validate the usefulness and efficiency of the proposed method.

Published in:

Signal Processing Systems (ICSPS), 2010 2nd International Conference on  (Volume:1 )

Date of Conference:

5-7 July 2010