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September 1, 1986IEEE Transactions on Biomedical Engineering818 citations

An Efficient Algorithm for Spectral Analysis of Heart Rate Variability

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RBRonald D. BergerElectrophysiologySAS. AkselrodTel Aviv UniversityDGDavid GordonUnited States Fish and Wildlife Service

Key Points

  • The research aims to develop an efficient algorithm for deriving heart rate signals from ECG data.
  • Developed a new algorithm for heart rate signal derivation from electrocardiograms.

Structured PICO

I
Intervention
A simple efficient algorithm for the derivation of a heart rate signal from the electrocardiogram
C
Comparator
Other ECG-derived heart rate signals
O
Outcome
Match of the amplitude spectrum to the input signal of an integral pulse frequency modulation (IPFM) modelsurrogate

The proposed algorithm provides a more accurate spectral representation of heart rate variability from ECG signals compared to existing methods.

Abstract

We present a simple efficient algorithm for the derivation of a heart rate signal from the electrocardiogram. We demonstrate that the amplitude spectrum of this heart rate signal more closely matches that of the input signal to an integral pulse frequency modulation (IPFM) model of the heart's pacemaker than do the spectra of other ECG-derived heart rate signals. The applicability of this algorithm in cross-spectral analysis between heart rate and other physiologic signals is also discussed.

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Cite This Study

Berger et al. (1986) studied this question.

synapsesocial.com/papers/6a237307a2806805a29ff41fhttps://doi.org/10.1109/tbme.1986.325789
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