A wearable system for cardiopulmonary assessment and personalized respiratory training

Abstract

Imbalance of autonomic nerve is the cause of lots of cardiovascular and psychological diseases. Many studies have shown that Heart Rate Variability Biofeedback through respiratory training is an effective way to regulate the status of human autonomic nerves. However, due to the immature quantification of Respiratory Sinus Arrhythmia, the respiratory training process cannot be optimal personalized. In this paper, we propose the Cardiopulmonary Resonance Indices based on the Cardiopulmonary Coupling Model to calculate the personalized optimal breathing training frequency. Then the respiratory feedback training system is constructed to provide real-time audio-visual guidance for each subject. The results in the clinical trial of pregnant women in their third trimester showed that, compared to control group, with the intervention of personalized respiratory feedback training at home, pregnant women could stabilize their blood pressure and blood glucose, relieve mental stress, as well as exert positive effects on fetal development. This provides a new possibility of the autonomic imbalance treatment.