Exercise Intervention Framework of Emotion Regulation Based on Heart Rate Variability

In this paper, we propose a personalized exercise intervention framework based on heart rate variability (HRV) to improve emotion regulation. Firstly, we deeply study the mechanism of exercise improving emotion regulation and introduce an “Emotion Regulation-ANS-Exercise” framework. From this connection, we use heart rate variability as the parameter of biofeedback. Secondly, we quantify a kind of movement state (represented by HRV) which is more beneficial to emotion regulation for each subject through the emotion regulation experiment, and then we design an exercise feedback system by combining biofeedback and PID controller. In this process, we calculate the target speed by the deviation between the target HRV and the current HRV. According to the target speed and real-time speed, the subject will adjust the exercise intensity to make their current HRV close to the target HRV. Finally, through the long-term comparison with the control group, we conclude that the personalized exercise intervention framework designed in this paper is more conducive to emotion regulation.

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