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The Ornstein-Uhlenbeck third-order Gaussian process (OUGP) applied directly to the un-resampled heart rate variability (HRV) tachogram for detrending and low-pass filtering.

The heart rate variability signal derived from the ECG is a beat-to-beat record of RR-intervals and is, as a time series, irregularly sampled. It is common engineering practice to resample this record, typically at 4 Hz, onto a regular time axis for conventional analysis using IIR and FIR filters, a...

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Published in:Medical & Biological Engineering & Computing Vol. 50; no. 7; pp. 737 - 743
Main Authors: Fisher AC, Eleuteri A, Groves D, Dewhurst CJ, Fisher, A C, Eleuteri, A, Groves, D, Dewhurst, C J
Format: Journal Article
Published: Springer Nature Jul2012
Online Access:View this record in EBSCOhost
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      pub: Springer Nature
      place: New York, New York
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        atl: The Ornstein-Uhlenbeck third-order Gaussian process (OUGP) applied directly to the un-resampled heart rate variability (HRV) tachogram for detrending and low-pass filtering.
      aug:
        au:
          Fisher AC
          Eleuteri A
          Groves D
          Dewhurst CJ
          Fisher, A C
          Eleuteri, A
          Groves, D
          Dewhurst, C J
        affil: Department of Medical Physics and Clinical Engineering, Royal Liverpool and Broadgreen University Hospital, Liverpool, UK
      sug:
        subj:
          Electrocardiography Methods
          Heart Rate Physiology
          Signal Processing, Computer Assisted
          Algorithms
          Models, Statistical
      ab: The heart rate variability signal derived from the ECG is a beat-to-beat record of RR-intervals and is, as a time series, irregularly sampled. It is common engineering practice to resample this record, typically at 4 Hz, onto a regular time axis for conventional analysis using IIR and FIR filters, and power spectral estimators, in the time and frequency domain, respectively. However, such interpolative resampling introduces noise into the signal and the information quality is compromised. Here, the Ornstein-Uhlenbeck third-order band-pass filter is presented which operates on data sampled at arbitrary time and preserves fidelity. The algorithm is available as open source code for MATLAB(®) (MathWorks™ Inc.) and supported by an interactive website at http://clinengnhs.liv.ac.uk/OUGP.htm.
      pubtype: Academic Journal
      doctype: Journal Article
      ougenre: Article
    language: English
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