基于自适应子带谱熵和短时平均幅度的心音端点检测  

Heart Sound Endpoint Detection Based on ABSE and Average Amplitude

作　　者：吴云飞 李海霞[1] WU Yunfei;LI Haixia(Department of Information Engineering,Suqian College,Suqian 22380)

机构地区：[1]宿迁学院信息工程学院,宿迁223800

出　　处：《计算机与数字工程》2018年第9期1740-1743,1785,共5页Computer & Digital Engineering

摘　　要：论文提出一种对心动周期内的有效音进行端点检测和定位的方法。首先对心音信号进行归一化和预加重,实现对心音信号质量的提升。然后利用窗函数对心音信号进行分帧并利用自适应子带谱熵和短时平均幅度对心音信号进行成分检测。仿真结果证明,该方法可以对不同类型心音中的有效音和无效音进行区分,并实现心音及心杂音的分别标记。In this paper,a method is proposed to detect and locate the effective sound in the cardiac cycle. First,the heart sound signal is normalized and pre-weighted,to improve the quality of the heart sound signal. Then the window function is used to frame the heart sound signal and the adaptive subband spectral entropy and the short time average amplitude are used to detect the heart sound signal. The simulation results show that the proposed method can distinguish the effective and ineffective sounds and realize the markings of heart sounds and heart murmur for different types of heart sounds.

关 键 词：心音 端点检测 自适应子带谱熵 短时平均幅度 

分 类 号：TP39[自动化与计算机技术—计算机应用技术]