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 language | British English |
|---|---|
| Title of host publication | 2020 11th Conference of the European Study Group on Cardiovascular Oscillations |
| Subtitle of host publication | Computation and Modelling in Physiology: New Challenges and Opportunities, ESGCO 2020 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| ISBN (Electronic) | 9781728157511 |
| DOIs | |
| State | Published - Jul 2020 |
| Event | 11th Conference of the European Study Group on Cardiovascular Oscillations, ESGCO 2020 - Virtual, Online, Italy Duration: 15 Jul 2020 → … |
Publication series
| Name | 2020 11th Conference of the European Study Group on Cardiovascular Oscillations: Computation and Modelling in Physiology: New Challenges and Opportunities, ESGCO 2020 |
|---|
Conference
| Conference | 11th Conference of the European Study Group on Cardiovascular Oscillations, ESGCO 2020 |
|---|---|
| Country/Territory | Italy |
| City | Virtual, Online |
| Period | 15/07/20 → … |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
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