基于符号相对熵的心电信号时间不可逆性分析

摘要

Time irreversibility of electric cardiac graph（ECG） signal can reflect the physiological function and the health condition of the heart.In this paper,we propos a symbolic relative entropy method （first symbolizing and then determining the time irreversibility） to analyze the three kinds of ECG signals,i.e.,normal sinus rhythm,ventricular fibrillation and sudden cardiac death from the MIT-BIH database.The results show that three kinds of signals have different time irreversibilityies,and the time irreversibility range is largest for the normal sinus rhythm,the second largest for the ventricular fibrillation,and smallest for the sudden cardiac death.Variance test results indicate that the irreversibilities of the three signals are significantly different.The results show that the relative entropy method can play a positive role in heart disease detection and diagnosis.%心电图（ECG）信号的时间不可逆性能够反映出心脏的生理功能和健康状态.从短时ECG信号中探测时间不可逆性特征具有重要的现实意义.文章提出符号相对熵方法（先进行符号化处理,再分别计算它们的时间不可逆性）,研究了从MIT-BIH标准数据库中提取的正常窦性心律（normal sinus rhythm,NSR）、心室纤颤（ventricular fibrillation,VF）、心脏猝死（sudden cardiac death,SCD）三种信号.结果表明,这三种信号的时间不可逆性有所不同：NSR信号的时间不可逆性变化范围最大,VF信号次之,SCD信号最小;并且强度依次变小.方差检验结果表明,此方法得出的三种信号的时间不可逆性具有显著差异,对患者进行快速诊断和辅助治疗有积极的作用.