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Related Experiment Videos

Heart rate variability: comparison among devices with different temporal resolutions.

P J Chellakumar1, A Brumfield, K Kunderu

  • 1Engineering and Control Technology Branch, National Institute for Occupational Safety and Health, 1095 Willowdale Road, M/S 2027, Morgantown, WV 26505, USA. pic2@cdc.gov

Physiological Measurement
|November 29, 2005
PubMed
Summary

This study validates devices for heart rate variability (HRV) analysis. High and low temporal resolution methods show excellent correlation with ECG, though low resolution impacts some HRV parameters.

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Area of Science:

  • Physiology
  • Biomedical Engineering
  • Cardiology

Background:

  • Devices acquiring beat-to-beat intervals are increasingly used for heart rate variability (HRV) analysis.
  • Validation of these devices and their methods against traditional techniques, particularly electrocardiography (ECG), is crucial for reliable HRV studies.
  • Temporal resolution of interval acquisition can influence HRV analysis outcomes.

Purpose of the Study:

  • To compare HRV analysis parameters derived from two methods with different temporal resolutions (high: <1 ms, low: 10 ms) against a gold standard ECG method.
  • To assess the validity and reliability of non-ECG based beat-to-beat interval acquisition for HRV analysis.

Main Methods:

  • Simultaneous collection of beat-to-beat intervals from three methods: high-resolution, low-resolution, and reference ECG.

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  • Calculation of time domain, frequency domain, and non-linear HRV parameters for all three methods.
  • Statistical analysis using Pearson product-moment correlations and one-way repeated-measures ANOVA.

    • Main Results:

    • Excellent correlations (r > 0.99) were observed between all methods for most time, frequency, and non-linear HRV measures.
    • Statistically significant differences were noted in specific HRV parameters, particularly mean RR and mean heart rate, from the low-resolution method (p < 0.001).
    • Differences were attributed to the temporal resolution of the RR interval measurements.

    Conclusions:

    • Both high and low temporal resolution methods demonstrate strong agreement with ECG for HRV analysis in healthy volunteers under resting conditions.
    • The low-resolution method may introduce statistically significant differences in certain HRV parameters, necessitating careful consideration in study design.
    • These validated methods can be utilized by researchers for conducting HRV studies, with awareness of potential resolution-related impacts.