早搏信号的小波模极大多重分形分析  

Wavelet Modulus Maxima of Multifractality Based Analysis of the Pathological ECG Signals

作　　者：余正锋[1] 王俊[2] 

机构地区：[1]南京邮电大学通信与信息工程学院,图像处理与图像通信江苏省重点实验室,南京210003 [2]南京邮电大学地理与生物信息学院,图像处理与图像通信江苏省重点实验室,南京210003

出　　处：《生物医学工程学杂志》2011年第5期907-910,共4页Journal of Biomedical Engineering

基　　金：国家自然科学基金青年基金资助项目(60701002)

摘　　要：本文运用基于小波模极大值的多重分形分析方法,研究心脏房性早搏(APB)信号、室性早搏(PVC)信号及正常心电(ECG)信号的多重分形特征。通过分析多重分形谱得出:三种信号都具有不同程度的多重分形特性;正常ECG信号的分形程度最强,PVC信号次之,APB信号最弱。t检验结果表明,此方法得出的三种信号分形谱宽度差异具有显著性,对临床医学诊断区分APB、PVC信号有很好的借鉴意义。In this paper, wavelet moudulus maxima based multifractal analysis was used to study the multifractal characteristics of the atrial premature beat （APB） signal, the premature ventricular contraction （PVC） signal and normal ECG signal. By analyzing the multifractal spectrum, it was obtained that three kinds of signals had different multifractal strengths. Normal ECG signals had the strongest singularity strength. The PVC beats had the second stronger singularity strength. And the APB beats had the weakest singularity strength. The T test indicated that above-mentioned analysis could disclose significant differences among these three signals. It has meaningful reference for clinical diagnosing and distinguishing with PVC and APB signals.

关 键 词：早搏信号 多重分形 小波模极大值 

分 类 号：R318.0[医药卫生—生物医学工程]