针对现行心音信号特征提取模式下存在的局限性,结合手机移动通讯技术的发展,设计了一种基于手机客户端和服务器模式的心音信号分析诊断系统.利用Java Me语言在手机上进行心音信号可视化编程处理,使在手机上显示信号时域图谱,并通过移动互联网将采样信号传输到服务器端进行小波分解,提取心音信号特征值,最后在手机上返回信号的异常结果同时存储在数据库.通过实验结果表明了该方案的可行性,实现了心音信号的自动诊断,对于诊断心脏突发疾病和慢性病具有显著的效果.%For the limits of heart sound feature extraction method used now, combined with advanced mobile communication technology, system of heart sound feature based on c/s model of phone is proposed. Using Java Me programs phonocardiogram is show on phone screen, and the data of heart sound is transferred to web server which can extract the feature value of according to wavelet analysis. Finally, the diagnosis result would be sent to the phone at the same time is stored in the database. According to the experiment, the method realizes abnormal heart sound signal automatic diagnosis which has significant effect on the diagnosis of cardiac disease and chronic diseases.
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