Why the study?
Cardiorespiratory interaction causes a peak in the heart rate variability spectrum, but the effect of the respiratory signal on standard HRV spectral indexes needed evaluation in healthy elderly subjects and those with COPD.
Does removing the respiratory signal influence alter heart rate variability spectral analysis in elderly subjects with and without COPD?
Does removing the respiratory signal influence alter heart rate variability spectral analysis in elderly subjects with and without COPD?
Low frequency respiration at 0.1 Hz introduces an error in HRV spectral analysis, which can be corrected by filtering out the respiratory signal.
Respiratory adjustment may prevent LF overestimation during paced breathing; leaves open whether adjusted HRV improves risk assessment in elderly COPD.
Motivation/Background: Cardiorespiratory interaction is known to cause a peak in the heart rate variability (HRV) spectrum, characterized as sinus arrhythmia. This study evaluates standard indexes of HRV spectral analysis with and without the influence of respiratory signal in elderly subjects with chronic obstructive pulmonary disease (COPD, N=14) and healthy lungs (N=14). In the last, all subjects controlled their breathing at 0.1 Hz (CGL) and breathed freely (CG). Method: Anthropometrical characteristics were similar, with increased heart rate in COPD (75±11.1 vs. 62±8.3 bpm). Cardiac and respiratory signals in supine position were recorded with a portable data acquisition system during 5 min and processed in frequency domain. To remove the influence of the respiration in HRV, a 2th order Butterworth band-stop filter, was applied to the RRi signal. Results: In CGL main respiratory frequency was significantly lower (ANOVA with post-hoc Turkey's test, α = 0.05) and with the influence of respiratory signal differed from without the influence of respiratory signal to HRV spectral analysis (Student t-test, α = 0.05) with increased low frequency contribution (51.0±11.4 vs. 42.0±11.6, respectively). PG and CG showed no significant differences in with or without influence of respiratory signal to HRV spectral analysis. Conclusions: The results of the present study have showed a low frequency respiration at 0.1 Hz provided an increase in low frequency and decrease in high frequency power spectral analysis, showing an error in the HRV analysis.
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Materko et al. (2020) studied this question.
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