基于小波能量方法的室性心律失常分析  

Ventricular Arrhythmia Analysis and Research Based on Wavelet Energy Approach

作　　者：宋蓝天[1] 于凤芹[1] 

机构地区：[1]江南大学通信与控制工程学院,江苏无锡214122

出　　处：《江南大学学报（自然科学版）》2010年第3期296-299,共4页Joural of Jiangnan University (Natural Science Edition)　

摘　　要：针对传统的时频方法很难提取心电图局部变化特征,对蕴含绝大部分室性心率失常信息的QRS波段的小波系数进行能量计算。通过小波变换把信号的能量分配到不同的频带,利用各层能量比例关系凸现局部变化。用此方法在MIT-BIH数据库中进行验证,小波能量比率值在5种信号上的均值和方差的差异可以区分这5种信号,仿真结果证明这种方法是有效的。ECG（electrocardiograms）signal is an important basis for heart disease＇s diagnosing,but its acquisition process is easily influenced by noise.It appears low-frequency weak non-stationary characters.Therefore,the traditional time-frequency approaches are difficult to extract its local changing characters.The paper adopts the energetic calculation of the QRS wave＇s wavelet coefficients which includes most ventricular arrhythmia information.This approach exploits the capability of wavelet transform to separate the signal energy into different frequency bands,to highlight the local changing by using the ratio relationships of every scale＇s energy.Using this approach to testify in MIT-BIH database,it could directly judge the five kinds of signals through the difference in the mean values and variance of the wavelet energy ratio.This method is justified to be effective.

关 键 词：小波能量 心电图信号 室性心率失常 

分 类 号：R318[医药卫生—生物医学工程]