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Interaction between respiratory and RR interval oscillations at low frequencies
A Aguirre1, G R Wodicka, C Maayan
1Biomedical Engineering Department, Massachusetts General Hospital, Boston 02114.
Journal of the Autonomic Nervous System
|March 1, 1990
Summary
Respiration influences heart rate (RR interval) at lower frequencies than previously known, potentially via sympathetic reflexes. This finding impacts heart rate variability analysis and understanding autonomic nervous system function.
Area of Science:
- Cardiovascular Physiology
- Autonomic Nervous System Research
- Respiratory Regulation of Heart Rate
Background:
- Oscillations in RR interval (heart rate) are linked to autonomic nervous system activity.
- Respiration influences RR interval at higher frequencies (0.16-0.5 Hz), known as respiratory sinus arrhythmia.
- The effect of respiration on RR interval at lower frequencies (0.02-0.12 Hz) is less understood.
Purpose of the Study:
- To investigate the influence of respiration on RR interval at low frequencies (0.02-0.12 Hz).
- To determine if respiration affects heart rate variability in a frequency range below typical respiratory sinus arrhythmia.
Main Methods:
- Healthy sleeping adults underwent induced low-frequency respiratory oscillations via CO2 inhalation.
- Power spectral analysis of RR interval and respiration was performed before and after CO2 administration.
- Spectral energy in the low-frequency range was quantitatively compared.
Main Results:
- A group-level increase in spectral energy for both respiration and RR interval was observed.
- This effect was significant in a subset of the data (6 out of 29 epochs).
- Respiration demonstrated an influence on RR interval at frequencies below 0.16 Hz.
Conclusions:
- Respiration, specifically tidal volume, can modulate RR interval at frequencies lower than those associated with respiratory sinus arrhythmia.
- This low-frequency influence may be mediated by sympathetic nervous system reflexes.
- Findings are relevant for interpreting heart rate variability and understanding low-frequency autonomic influences.