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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.