Heart rate variability analysis using a ballistocardiogram during Valsalva manoeuvre and post exercise

Jae Hyuk Shin1, Su Hwan Hwang, Min Hye Chang

  • 1Interdisciplinary program of Biomedical Engineering, Seoul National University, Seoul, Korea.

Insights

This study presents a new, unconstrained method to measure heart rate variability (HRV) using ballistocardiogram (BCG) signals. The ballistocardiographic HRV (B-HRV) accurately reflects cardiac autonomic modulation, comparable to electrocardiogram (ECG) derived HRV.

Area of Science:

  • Biomedical Engineering
  • Physiology
  • Cardiovascular Research

Background:

  • Heart rate variability (HRV) analysis is crucial for assessing cardiac autonomic function.
  • Current HRV measurement often requires constrained setups, limiting naturalistic monitoring.
  • Ballistocardiography (BCG) offers a potential non-constrained alternative for physiological signal acquisition.

Purpose of the Study:

  • To introduce and validate a novel, non-constrained technique for estimating HRV using BCG signals.
  • To assess the efficacy of BCG-derived HRV (B-HRV) in analyzing cardiac autonomic modulation.
  • To compare B-HRV parameters with traditional ECG-derived HRV under various physiological conditions.

Main Methods:

  • A novel non-constrained technique was developed to derive HRV from BCG signals.
  • HRV parameters were calculated from BCG (B-HRV) and ECG (reference) in 15 healthy subjects.
  • Analyses included time, frequency, and nonlinear domains under resting, Valsalva maneuver, and post-exercise conditions.

Main Results:

  • The B-HRV method demonstrated high accuracy, with low average relative errors (5.01-5.98%) compared to ECG.
  • Excellent correlation coefficients (0.97-0.98) were observed between B-HRV and ECG-derived HRV.
  • B-HRV parameters exhibited similar patterns of change to ECG-HRV during autonomic modulation, reflecting sympathetic and parasympathetic activity.

Conclusions:

  • BCG provides an accurate and reliable non-constrained method for estimating HRV.
  • B-HRV can effectively evaluate autonomic system activation.
  • This technique holds promise for unobtrusive, long-term cardiovascular autonomic monitoring.

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