Fast and accurate power spectral analysis of heart rate variability using Fast Gaussian Gridding

Charalampos Eleftheriadis, Georgios Karakonstantis

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Citations (Scopus)
121 Downloads (Pure)

Abstract

In this paper, we propose an algorithm for fast and accurate Power Spectral Analysis of Heart Rate Variability based on the Lomb Periodogram. The previously introduced Fast-Lomb periodogram, may have reduced the computational complexity of PSA, however it still requires a large oversampling factor, which increases the complexity of the needed FFTs. In our approach, by utilising the Fast Gaussian Gridding method we produce accurate evenly spaced grids for the required FFTs by restricting the oversampling factor only to 2. By doing so, the required FFT size is reduced by up to 4 times without compromising the output accuracy. Our results indicate that the proposed spectral analysis system can achieve up-to 76.55% savings in the number of operations or up-to 75.8% in terms of the total execution time.
Original languageEnglish
Title of host publication2021 Computing in Cardiology (CinC): proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Number of pages4
ISBN (Electronic)9781665479165
ISBN (Print)9781665467216
DOIs
Publication statusPublished - 10 Jan 2022
Event48th Computing in Cardiology Conference 2021 - Brno, Czech Republic
Duration: 12 Sept 202115 Sept 2021

Publication series

NameComputing in Cardiology (CinC) Proceedings
Volume48
ISSN (Print)2325-8861
ISSN (Electronic)2325-887X

Conference

Conference48th Computing in Cardiology Conference 2021
Abbreviated titleCinC 2021
Country/TerritoryCzech Republic
CityBrno
Period12/09/202115/09/2021

Keywords

  • spectral analysis
  • Lomb-Scargle Fourier spectral analysis
  • Gaussian gridding
  • FFT
  • ECG

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