心律不齐患者心电图变异的小波分析

为探究心电图(ECG)中QRS波群能量占比,提出了对ECG进行小波变换,计算多尺度下QRS波群能量占比的新方法。以年轻(21～34岁)与年老(68～81岁)两组健康人及一组心律不齐患者(68～81岁)30个个体的ECG为实验数据,用Mexican-Hat为母小波在多个小波变换尺度下对ECG中的QRS波群进行能量占比的计算。结果表明,QRS波群的能量占比随年龄的增加无变化(P>0.44),但在相同年龄组,QRS波群能量占比在17Hz附近心律不齐患者组明显小于健康组(P<0.01),从而确定利用小波分析法计算出的QRS波能量占比可以作为检测窦性心律不齐患者的一项特征指标。

Wavelet Analysis for Electrocardiogram Variation of Arrhythmia Patients

To explore the energy proportion of the QRS complexes in the electrocardiogram(ECG),a new method,wavelet analysis,has been presented.Using wavelet transform of ECG,we can calculate the energy proportion of QRS complexes in multiple scales.The electrocardiograms(ECGs) were used as the experimental data,which were collected from a young(21-34yr) group and an elderly(68-81yr) group of healthy subjects,as well as from a group of arrhythmia patients(66-81yr).the data analysis was performed with the energy proportion of the QRS complexes in the ECG using Mexican-Hat as a mother wavelet in multiple scales.Results showed that the energy proportion of the QRS complexes had no changes with ages increasing(P>0.44),but in the same age group,the arrhythmia patients’ energy proportion of the QRS complexes near 17Hz are obviously less than that in the healthy group(P<0.01),so the energy proportion of the QRS complexes calculated by wavelet analysis can be used as a feature index to judge whether a person is a sinus arrhythmia patient or not.