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Spectral components of heart rate variability determined by wavelet analysis

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Spectral components of heart rate variability determined by wavelet analysis. / Lotric, Maja Bracic ; Stefanovska, Aneta; Stajer, Dusan et al.
In: Physiological Measurement, Vol. 21, No. 4, 11.2000, p. 441-457.

Research output: Contribution to Journal/MagazineJournal articlepeer-review

Harvard

Lotric, MB, Stefanovska, A, Stajer, D & Urbancic-Rovan, V 2000, 'Spectral components of heart rate variability determined by wavelet analysis', Physiological Measurement, vol. 21, no. 4, pp. 441-457. https://doi.org/10.1088/0967-3334/21/4/302

APA

Lotric, M. B., Stefanovska, A., Stajer, D., & Urbancic-Rovan, V. (2000). Spectral components of heart rate variability determined by wavelet analysis. Physiological Measurement, 21(4), 441-457. https://doi.org/10.1088/0967-3334/21/4/302

Vancouver

Lotric MB, Stefanovska A, Stajer D, Urbancic-Rovan V. Spectral components of heart rate variability determined by wavelet analysis. Physiological Measurement. 2000 Nov;21(4):441-457. doi: 10.1088/0967-3334/21/4/302

Author

Lotric, Maja Bracic ; Stefanovska, Aneta ; Stajer, Dusan et al. / Spectral components of heart rate variability determined by wavelet analysis. In: Physiological Measurement. 2000 ; Vol. 21, No. 4. pp. 441-457.

Bibtex

@article{5e8e01b84da2475481927ddf37045124,
title = "Spectral components of heart rate variability determined by wavelet analysis",
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.",
keywords = "MYOCARDIAL-INFARCTION, AGE, time-frequency analysis, heart rate variability, ageing, DYNAMICS, acute myocardial infarction, diabetes mellitus, wavelet transform, FREQUENCY-DOMAIN, MORTALITY, PERFUSION SIGNAL, OSCILLATIONS, cardiovascular dynamics",
author = "Lotric, {Maja Bracic} and Aneta Stefanovska and Dusan Stajer and Vilma Urbancic-Rovan",
year = "2000",
month = nov,
doi = "10.1088/0967-3334/21/4/302",
language = "English",
volume = "21",
pages = "441--457",
journal = "Physiological Measurement",
issn = "0967-3334",
publisher = "IOP Publishing Ltd.",
number = "4",

}

RIS

TY - JOUR

T1 - Spectral components of heart rate variability determined by wavelet analysis

AU - Lotric, Maja Bracic

AU - Stefanovska, Aneta

AU - Stajer, Dusan

AU - Urbancic-Rovan, Vilma

PY - 2000/11

Y1 - 2000/11

N2 - 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.

AB - 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.

KW - MYOCARDIAL-INFARCTION

KW - AGE

KW - time-frequency analysis

KW - heart rate variability

KW - ageing

KW - DYNAMICS

KW - acute myocardial infarction

KW - diabetes mellitus

KW - wavelet transform

KW - FREQUENCY-DOMAIN

KW - MORTALITY

KW - PERFUSION SIGNAL

KW - OSCILLATIONS

KW - cardiovascular dynamics

U2 - 10.1088/0967-3334/21/4/302

DO - 10.1088/0967-3334/21/4/302

M3 - Journal article

VL - 21

SP - 441

EP - 457

JO - Physiological Measurement

JF - Physiological Measurement

SN - 0967-3334

IS - 4

ER -