【摘要】 将连续小波变换应用于心音信号的分析中。连续小波变换因为尺度连续变化 ,可以充分表现小波分析的优越性。为了解决在分析尺度范围大 ,小波函数和信号中心频率较高条件下引起计算量大的问题 ,在基于 Mellin变化的连续小波快速算法的基础上提出了同比展宽法。连续小波变化可以表现心音信号在频域上的动态变化。通过对正常人和心肌病患者的不同样本分析 ,发现他们在变换后的时频分布上表现出明显的差异。结果表明连续小波变化是一种分析心音信号的有效方法。更多还原

【Abstract】 A new method of analyzing heart sounds is presented based on the continuous wavelet transform (CWT). The amount of calculations are reduced using a fast CWT algorithm. When the analyzed signals have higher frequency and larger scale range, the performance of the fast algorithm decreases because of the unique geometric sampling of the Mellin transform. An equal proportion expansion method is proposed to solve the problem. The dynamic changes of the heart sounds can be represented by a CWT in the time frequency domain. The results for cardiomyopathy patients are quite different from those for healthy ones, which shows that CWT is a useful method for analyzing heart sounds.更多还原