Quantification of physiological effect of respiration on automated measurement of blood pressure among normotensive adult individuals

Author:

Mondal Soumyajit1,Mukherjee Kalarab1,Ghosh Ankita2,Ahmed Farhad3,Ghosh Tandra4

Affiliation:

1. All India Institute of Medical Sciences (AIIMS) Kalyani, Basantapur, Saguna

2. Government College of Nursing, Nil Ratan Sircar Medical College and Hospital, Kolkata

3. Department of Community and Family Medicine

4. Department of Physiology, All India Institute of Medical Sciences (AIIMS) Kalyani, Basantapur, Saguna, West Bengal, India

Abstract

Background: Accurate blood pressure measurement necessitates meticulous methodology, as even minor variations like speaking or sitting can impact the readings. Additionally, respiration plays a role in blood pressure, exhibiting a dip during inhalation and a subsequent increase during exhalation. However, the influence of breathing patterns, duration, and rate on blood pressure remains largely unexplored. Methods: In this study, we have attempted to quantify the changes in blood pressure and heart rate (HR) of normotensive individuals while performing predefined respiratory patterns – slow, medium, and fast (respiratory rates of 5, 10, and 20/m, respectively). For each respiratory pattern, age-matched and gender-matched (18–40 years) volunteered normotensive individuals were selected as volunteers. Baseline readings were recorded and each volunteer was randomly allotted a respiratory pattern. The volunteers performed the assigned respiratory pattern while the BP and HR were recorded. Results: A fall in both SBP and DBP was observed in all three patterns of respiration. There was no inter-pattern difference in the blood pressure change. A novel finding in our study was a trend of respiratory rate and HR – the change in HR linearly increased with a rise in respiratory rate difference. We also proposed a linear regression equation for this increase in HR with the increase in respiratory rate which was statistically significant. Conclusion: The findings suggest the decline in blood pressure is independent of the respiratory pattern employed. The study also demonstrates that the HR is a linear function of respiratory rate.

Publisher

Ovid Technologies (Wolters Kluwer Health)

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