Breathing patterns, specifically tidal volume and breathing frequency, linearly predicted the high frequency component of the heart rate and systolic blood pressure spectrum.
Observational
The high-frequency components of heart rate and systolic blood pressure variability can be predicted by the depth and frequency of breathing.
Non-invasive assessment of short-term systolic blood pressure (SBP) and heart rate (HR) variability was obtained with the plethysmographic finger blood pressure measurement device. Respiration was measured with a respiratory inductive plethysmograph, which was calibrated prior to each study. 2. The effects of breathing pattern on the respiratory (high frequency, HF) component of the SBP or HR spectrum were analysed by Fourier transform. 3. Our quantification of the changes in the HF (respiratory) peak of the HR or SBP spectrum with changes in tidal volume (VT) and breathing frequency (BF) indicates that the modulus of this component may be predicted for any combination of depth and frequency of breathing. 4. The modulus of this HF component for the HR or SBP spectrum was linearly related to the respiratory sinus arrhythmia (RSA) or to the SBP oscillation related to respiration.
Laude et al. (Mon,) reported a observational. Breathing pattern (tidal volume and breathing frequency) was evaluated on High frequency (respiratory) component of the SBP or HR spectrum. Breathing patterns, specifically tidal volume and breathing frequency, linearly predicted the high frequency component of the heart rate and systolic blood pressure spectrum.