The RR Interval Spectrum, the ECG Signal, and Aliasing

A. Gersten, O. Gersten, A. Ronen, Y. Cassuto
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引用次数: 2

Abstract

A reliable spectral analysis requires sampling rate at least twice as large as the frequency bound, otherwise the analysis will be unreliable and plagued with aliasing distortions. The RR samplings do not satisfy the above requirements and therefore their spectral analysis might be unreliable. In order to demonstrate the feasibility of aliasing in RR spectral analysis, we have done an experiment which have shown clearly how the aliasing was developed. In the experiments, one of us (A.G) had kept his high breathing rate constant with the aid of metronome for more than 5 minutes. The breathing rate was larger than one-half the heart rate. Very accurate results were obtained and the resulting aliasing well understood. To our best knowledge this is the first controlled experiment of this kind coducted on humans. We compared the RR spectral analysis with the spectrum of the ECG signals from which the RR intervals were extracted. In the significant for RR analysis frequencies (below one-half Hertz) significant differences were observed. In conclusion we recommend to study the spectral analysis of the ECG signal in the free of aliasing frequency range.
RR间隔频谱,心电信号,和混叠
可靠的频谱分析要求采样率至少为频率界的两倍,否则分析将不可靠并受到混叠失真的困扰。RR采样不满足上述要求,因此其光谱分析可能不可靠。为了证明混叠在RR频谱分析中的可行性,我们做了一个实验,清楚地展示了混叠是如何发展的。在实验中,我们中的一个人(A.G)在节拍器的帮助下保持了5分钟以上的高呼吸率。呼吸频率大于心率的一半。得到了非常精确的结果,并且很好地理解了由此产生的混叠。据我们所知,这是第一次在人类身上进行这种对照实验。我们将RR频谱分析与提取了RR区间的心电信号的频谱进行了比较。在显著的RR分析频率(低于半赫兹)中,观察到显著差异。综上所述,我们建议研究无混叠频率范围内心电信号的频谱分析。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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