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Modulating effect of respiration on atrioventricular conduction time assessed using PR interval variation
R Shouldice1, C Heneghan, P Nolan
1Digital Signal Processing Research Group, Department of Electronic & Electrical Engineering, University College Dublin, Dublin, Ireland. redmond.shouldice@ucd.ie
Medical & Biological Engineering & Computing
|January 1, 2003
Summary
Respiration significantly affects atrioventricular conduction delay, influencing PR interval length. Cosinor analysis reliably quantifies this respiratory atrioventricular conduction delay variability (RCV).
Area of Science:
- Cardiovascular Physiology
- Autonomic Nervous System Regulation
Background:
- Respiratory sinus arrhythmia (RSA), heart rate variability with breathing, is well-studied.
- The impact of respiration on atrioventricular conduction delay (PR interval) remains less explored.
Purpose of the Study:
- To investigate and quantify the effect of respiration on atrioventricular conduction delay.
- To assess the reliability of different methods for measuring respiratory atrioventricular conduction delay variability (RCV).
Main Methods:
- Surface electrocardiogram (ECG) recorded RR and PR intervals in 11 subjects.
- Measurements were taken during paced and spontaneous respiration in a supine position.
- A wavelet-based approach was used for interval extraction; spectral, peak-to-trough, and cosinor methods assessed RCV.
Main Results:
- Statistically significant PR interval variations due to respiration were observed during paced breathing (6 min⁻¹).
- Cosinor analysis proved most reliable, detecting significant RCV in 10/11 subjects during paced respiration (mean variability ±5.9%).
- Significant RCV was found in about half of subjects during spontaneous respiration (mean variability ±1.5%).
Conclusions:
- Respiration modulates atrioventricular conduction delay, with deep breathing accentuating the effect.
- Cosinor analysis is a reliable method for quantifying respiratory atrioventricular conduction delay variability (RCV).
- This finding adds to the understanding of cardiorespiratory interactions.