Efficacy of frequency domain parameters applied onto ultra-short ECG recordings in the diagnosis of definite cardiac autonomic neuropathy -Comparing Lomb-Scargle-Periodogram and Fast-Fourier-Transform

Dominik Wehler, Herbert F. Jelinek, Niels Wessel, Jan F. Kramer, Thomas Penzel

Research output: Book chapter/Published conference paperConference paperpeer-review

1 Citation (Scopus)

Abstract

Cardiac autonomic neuropathy (CAN) is often, but not always, linked to diabetes and should therefore be part of a general health review. Analysis of heart rate variability (HRV), the beat-to-beat alterations in heart rate, is a potential screening tool in general practice, but optimal recording lengths and diagnostic parameters need to be established. We calculated the low frequency (LF) and high frequency (HF) frequency domain parameters for 11 patients with definite CAN (dCAN) and 76 controls from ultra-short ECGs of 10 to 300 seconds in length and their ability to distinguish dCAN from controls was assessed by estimation of an area under the receiver operating characteristic curve (AUC). Fast-Fourier-Transform (FFT) and Lomb-Scargle-Periodogram (LSP) have been used separately to allow for a comparison of methods. LF and HF allowed for good overall separation of groups from 300-second-recordings, which had the highest accuracy and has been the traditional recommended length for frequency domain analysis, with LF yielding good results down to 60 secs, The differences between values obtained through FFT and LSP were clinically negligible for all window sizes.

Original languageEnglish
Title of host publication2020 11th Conference of the European study group on cardiovascular oscillations (ESGCO)
PublisherIEEE, Institute of Electrical and Electronics Engineers
Number of pages2
ISBN (Electronic)9781728157511
ISBN (Print)9781728157528 (Print on demand)
DOIs
Publication statusPublished - 04 Aug 2020
Event11th Conference of the European Study Group on Cardiovascular Oscillations: ESGCO 2020 - Virtual conference, Italy
Duration: 15 Jul 202015 Jul 2020
http://esgco2020.unipi.it/ (conference website)
https://ieeexplore.ieee.org/xpl/conhome/9145481/proceeding (Conference proceedings)

Publication series

Name2020 11th Conference of the European Study Group on Cardiovascular Oscillations: Computation and Modelling in Physiology: New Challenges and Opportunities, ESGCO 2020

Conference

Conference11th Conference of the European Study Group on Cardiovascular Oscillations
Abbreviated titleComputation and Modelling in Physiology: New Challenges and Opportunities
Country/TerritoryItaly
Period15/07/2015/07/20
Internet address

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