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基于小波时频分析的心音异常信号检测 被引量:8

Abnormal heart sound signal detection based on the wavelet time-frequency analysis
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摘要 利用小波时频分析知识,结合Choi-Williams分布及重排对正常心音信号和异常心音信号进行能量分布分析,运用matlab编程可以计算得到正常心音和异常心音信号不同的时频分布结构,从而可以很清晰的区分心音信号是否正常。时频分布操作简单,信号蕴含信息很强,可以通过连续观测结果分析,清楚的发现异常心音信号出现的时刻,从而进行及早的预判和相应治疗,对于心脏相关疾病的预防具有很好的指导作用。 In this paper, we use the wavelet time-frequency analysis knowledge, combined with Choi-Williams distribution and rearrangement to analyze the normal and abnormal heart sound signal. The different time-frequency distribution structure can be calculated by using matlab programming on normal heart sounds and abnormal heart sound signals, which can clearly distinguish the heart sound signal is normal. The time-frequency distribution of simple operation, strong signal contains the information, can through continuous observation analysis, clear up of abnormal heart sound signal, and thus for the early predictions and the corresponding treatment, associated with heart disease prevention has the very good guidance.
作者 李炜 黄倩
出处 《电子设计工程》 2015年第6期41-43,48,共4页 Electronic Design Engineering
关键词 心音信号 时频分析 Choi-Williams分布 MATLAB heart sound test time-frequency analysis Choi-Williams distribution Matlab
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参考文献8

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