Spectral Properties of ECG Signal

J. Surda, S. Lovas, J. Púc̆ik, M. Jus
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引用次数: 20

Abstract

Spectral analysis belongs to widely used method for biomedical data exploration. In order to interpret spectrum correctly, prior knowledge how various phenomena affect the spectrum of analyzed signal is desirable. Spectrum of ECG signal is affected by waveform component shapes, their time positions within cardiac cycle as well as by regularity of heart period. This paper deals with effect of heart rate variability on ECG signal spectrum. Three representations are proposed to model variable heart timing in the case of normal sinus rhythm (pulse process with time jitter, random inter-pulse interval and integral pulse frequency modulation model). Properties of corresponding spectra are theoretically studied and compared with real-world signals from PhysioBank data archive.
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心电信号的频谱特性
光谱分析是一种应用广泛的生物医学数据挖掘方法。为了正确地解释频谱,需要预先知道各种现象如何影响被分析信号的频谱。心电信号的频谱受波形分量形状、它们在心电周期内的时间位置以及心电周期的规律性的影响。研究心率变异性对心电信号频谱的影响。在正常窦性心律的情况下,提出了三种表征方法(含时间抖动的脉冲过程、随机脉间间隔和积分脉频调制模型)来模拟变心率。从理论上研究了相应光谱的性质,并与PhysioBank数据档案中的实际信号进行了比较。
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