Time domain parameters can be estimated with less statistical error than frequency domain parameters in the analysis of heart rate variability

Measures of heart rate variability (HRV) can be divided in time domain and frequency domain parameters. It is frequently ignored that estimation of frequency-domain parameters is a 2-step procedure where statistical error from the first step (spectral estimation) is neglected in subsequent analyses....

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Bibliographic Details
Published in:Journal of electrocardiology Vol. 41; no. 4; pp. 287 - 291
Main Authors: Kuss, Oliver, Schumann, Barbara, Kluttig, Alexander, Greiser, Karin Halina, Haerting, Johannes
Format: Journal Article
Language:English
Published: United States Elsevier Inc 01.07.2008
Elsevier Science Ltd
Subjects:
Algorithms
Arrhythmias, Cardiac - diagnosis
Arrhythmias, Cardiac - physiopathology
Autonomic nervous system
Cardiovascular
Computer Simulation
Computer simulation [MESH]
Data Interpretation, Statistical
Diagnosis, Computer-Assisted - methods
Electrocardiography
Electrocardiography - methods
Fourier analysis
Frequency domain
Heart Rate
Heart rate variability
Humans
Models, Cardiovascular
Reproducibility of Results
Sensitivity and Specificity
Time domain
Heart rate
Frequency domain
Autonomic nervous system
Electrocardiography
Time domain
Fourier analysis
Computer simulation [MESH]
Heart rate variability
ISSN:0022-0736, 1532-8430, 1532-8430
Online Access:Get full text
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Summary:Measures of heart rate variability (HRV) can be divided in time domain and frequency domain parameters. It is frequently ignored that estimation of frequency-domain parameters is a 2-step procedure where statistical error from the first step (spectral estimation) is neglected in subsequent analyses. We performed a simulation study to quantify the statistical error by using frequency domain instead of time domain parameters. We generated tachograms from a stationary AR(1) process for a wide range of parameters and compared the resulting estimation error (in terms of precision and variability) for the standard deviation of normal RR intervals (SDNN) and low frequency (LF), high frequency (HF), and LF/HF power. Estimation of frequency domain parameters is associated with (up to 10-fold) increased variability, as compared with the SDNN. Moreover, the SDNN has higher precision. Frequency domain parameters should be applied in HRV analysis only if important physiological reasons suggest their use. If used, frequency domain parameters should be interpreted with caution, taking into account the statistical weaknesses of spectral estimation.
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ISSN:0022-0736
1532-8430
1532-8430
DOI:10.1016/j.jelectrocard.2008.02.014