Key result
Three commercially available heart rate variability analysers yielded similar values but showed a wide range of reliability (CV 1-235%, ICC 0.16-0.99) depending on the measure and position.
Why the study?
Are short-term (5-min) heart rate variability measures reliable across three commercially available instruments in healthy subjects?
Cross-Sectional (n=29)
Are short-term (5-min) heart rate variability measures reliable across three commercially available instruments in healthy subjects?
Biological variation and experimental error play a major role in HRV measurement repeatability, highlighting the need for population-specific reliability coefficients and careful sample size calculations.
Answers are grounded in this paper and cite their sources.
Variable HRV analyser reliability warrants clinical caution in interpretation and use; leaves open need for device- and measure-specific validation studies.
AIM: To assess the reliability of heart rate variability (HRV) measures made by three commercially available analysers in healthy subjects. METHODS: Twenty-nine volunteers (20 males, mean age 35 +/- 13 years and nine females, mean age 29 +/- 11 years) underwent repeated HRV measures under three conditions: lying supine, standing, lying supine with controlled breathing. HRV was measured simultaneously by three instruments. Reliability was assessed statistically by calculating coefficient of variation (CV), intraclass correlation coefficient (ICC) and limits of agreement (LoA). RESULTS: A wide range of values were found for CV (1-235%) and ICC (R = 0.16-0.99) dependent on the HRV measure assessed and the position in which the measurement was made. For the most part the analysers gave similar values in each condition. The values for CV and ICC were high but within the range reported in the literature. Values for LoA were also high and showed a wide range of values. CONCLUSIONS: The similarity in measures between systems indicates that biological variation and experimental error play a major role in determining the repeatability of HRV measurements. It is therefore recommended that population-specific reliability coefficients should be published where possible and that authors should take into account the reliability of measures when making sample size calculations.
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Sandercock et al. (2004) conducted a cross-sectional in healthy subjects (n=29). Three commercially available heart rate variability analysers was evaluated on Reliability assessed by coefficient of variation (CV), intraclass correlation coefficient (ICC) and limits of agreement (LoA). Three commercially available heart rate variability analysers yielded similar values but showed a wide range of reliability (CV 1-235%, ICC 0.16-0.99) depending on the measure and position.
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