Fast time series detrending with applications to heart rate variability analysis

M. Andrecut ()
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M. Andrecut: Unlimited Analytics Inc., Calgary, Alberta, T3G 5Y8, Canada

International Journal of Modern Physics C (IJMPC), 2019, vol. 30, issue 09, 1-13

Abstract: In this paper, we discuss a new fast detrending method for the nonstationary RR time series used in Heart Rate Variability (HRV) analysis. The described method is based on the diffusion equation, and we show numerically that it is equivalent to the widely used Smoothing Priors Approach (SPA) and Wavelet Smoothing Approach (WSA) methods. The speed of the proposed method is comparable to the WSA method and it is several orders of magnitude faster than the SPA method, which makes it suitable for very long time series analysis.

Keywords: Time series analysis; heart rate variability (search for similar items in EconPapers)
Date: 2019
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DOI: 10.1142/S0129183119500694

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