连续血压瞬时频率的功率谱、连续小波变换和Hilbert-Huang变换的比较

IF 0.5 Q4 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS Advances in Data Science and Adaptive Analysis Pub Date : 2017-11-09 DOI:10.1142/S2424922X17500097
Kathrine Knai, G. Kulia, M. Molinas, N. K. Skjaervold
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引用次数: 1

摘要

连续的生物信号,如血压记录,表现出非线性和非平稳的特性,这在分析过程中必须考虑。心率变异性分析已经确定了几种频率成分及其自主起源。需要对这些频率随时间变化的特性有更多的了解。对连续血压信号进行功率谱、连续小波变换和Hilbert-Huang变换,比较不同方法的优缺点。Hilbert-Huang变换显示了分析此类数据的高能力,并且可以通过识别瞬时频移,为这类数据的本质提供新的见解。
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Instantaneous Frequencies of Continuous Blood Pressure a Comparison of the Power Spectrum, the Continuous Wavelet Transform and the Hilbert-Huang Transform
Continuous biological signals, like blood pressure recordings, exhibit nonlinear and nonstationary properties which must be considered during their analysis. Heart rate variability analyses have identified several frequency components and their autonomic origin. There is need for more knowledge on the time-changing properties of these frequencies. The power spectrum, continuous wavelet transform and Hilbert–Huang transform are applied on a continuous blood pressure signal to investigate how the different methods compare to each other. The Hilbert–Huang transform shows high ability to analyze such data, and can, by identifying instantaneous frequency shifts, provide new insights into the nature of these kinds of data.
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来源期刊
Advances in Data Science and Adaptive Analysis
Advances in Data Science and Adaptive Analysis MATHEMATICS, INTERDISCIPLINARY APPLICATIONS-
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