Cited by 80Heart Rate Variability and Autonomic ControlECG Monitoring and AnalysisNon-Invasive Vital Sign Monitoring

Spectral components of heart rate variability determined by wavelet analysis

Lotric, Maja Bracic, Stefanovska, Aneta, Stajer, Dusan, Urbancic-Rovan, Vilma·2000·Physiological Measurement

Abstract

Spectral components of heart rate variability (HRV) are determined in the time-frequency domain using a wavelet transform. Based on the finer estimation of low-frequency content enabled by the logarithmic resolution of the wavelet transform, corrections of spectral intervals, already defined by Fourier and model based methods, are proposed. The characteristic peaks between 0.0095 and 0.6 Hz are traced in time and four spectral intervals are defined, I (0.0095-0.021 Hz), II (0.021-0.052 Hz), III (0.052-0.145 Hz) and IV (0.145-0.6 Hz), within which peaks are located for all subjects included. These intervals are shown to be invariant regardless of the age and the state of the system. We also show that the frequency and power of the spectral components are related to age, AMI and particularly to type II diabetes mellitus.

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Crossref · 10.1088/0967-3334/21/4/302

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Authors
Lotric, M. B., Stefanovska, A., Stajer, D., & Urbancic-Rovan, V.
Affiliations
University of Ljubljana (SI)
Venue
Physiological Measurement
Published
2000-11-01
Volume
21
Issue
4
Pages
441-457
ISSN
  • 0967-3334 (ISSN-L)
  • 1361-6579
OpenAlex
W1964570464
Cited by
80
References
33
Citations by year
2026: 2 · 2022: 1 · 2021: 4 · 2020: 1 · 2019: 2 · 2018: 2 · 2017: 2 · 2016: 3 · 2015: 5 · 2014: 5 · 2013: 6 · 2012: 4
FWCI
2.50
Type
journal article
Language
en
Open access
closed
Locations
  • Physiological Measurement (publishedVersion)
  • PubMed (publishedVersion)
  • Lancaster EPrints (Lancaster University) (submittedVersion)
Topics
  • Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Heart Rate Variability and Autonomic Control
  • Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › ECG Monitoring and Analysis
  • Physical Sciences › Engineering › Biomedical Engineering › Non-Invasive Vital Sign Monitoring
Keywords
heart rate variability, spectral components, wavelet transform, time-frequency analysis, low-frequency HRV, age-related changes, myocardial infarction, type 2 diabetes, autonomic nervous system
MeSH terms
Adult, Aged, Diabetes Mellitus, Type 2, Diabetic Angiopathies, Diabetic Neuropathies, Diabetic Retinopathy, Electrocardiography, Female, Fourier Analysis, Heart Rate, Humans, Hypertension, Male, Middle Aged, Myocardial Infarction, Reference Values, Software, Respiratory Mechanics

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