Effects of Temporary Respiration Exercise with Individual Harmonic Frequency on Blood Pressure and Autonomic Balance

Int J Environ Res Public Health. 2022 Nov 25;19(23):15676. doi: 10.3390/ijerph192315676.

Abstract

This study investigated the effects of modulated respiration on blood pressure and autonomic balance to develop a healthcare application system for stabilizing autonomic balance. Thirty-two participants were asked to perform self-regulated tasks with 18 different respiration sequences, and their electrocardiograms (ECG) and blood pressure were measured. Changes in cardiovascular system functions and blood pressure were compared between free-breathing and various respiration conditions. Systolic and diastolic blood pressures stabilized after individual harmonic breathing. Autonomic balance, characterized by heart rate variability, was also stabilized with brief respiration training according to harmonic frequency. Five machine-learning algorithms were used to classify the two opposing factors between the free and modulated breathing conditions. The random forest models outperformed the other classifiers in the training data of systolic blood pressure and heart rate variability. The mean areas under the curves (AUCs) were 0.82 for systolic blood pressure and 0.98 for heart rate variability. Our findings lend support that blood pressure and autonomic balance were improved by temporary harmonic frequency respiration. This study provides a self-regulated respiration system that can control and help stabilize blood pressure and autonomic balance, which would help reduce mental stress and enhance human task performance in various fields.

Keywords: autonomic balance; blood pressure; harmonic frequency; heart rate variability; human factors; optimized respiration.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Autonomic Nervous System* / physiology
  • Blood Pressure / physiology
  • Breathing Exercises*
  • Heart Rate / physiology
  • Humans
  • Respiration

Grants and funding

This research was partly funded by an Institute of Information & Communications Technology Planning & Evaluation (IITP) grant funded by the Korean government (MSIT) (No. 2022-0-00432, Development of Non-invasive Integrated BCI SW Platform to Control Home Appliance and External Devices by User’s Thought via AR/VR Interface, 50%), and an Electronics and Telecommunications Research Institute (ETRI) grant also funded by the Korean government (No. 22ZS1100, Core Technology Research for Self-Improving Integrated Artificial Intelligence System, 50%).