This invention discloses an emotion
monitoring system based on sleep HRV characteristics, belonging to the field of intelligent health monitoring technology. The
system includes: simultaneously collecting PPG, EEG, and near-
infrared light signals during sleep; analyzing HRV sequences and respiratory wave morphology based on PPG signals; achieving sleep
microstructure staging through cardiopulmonary
coupling analysis; extracting dynamic HRV features based on the staging results and comparing them with personalized stage baselines; detecting and labeling emotional load events; constructing and updating a nighttime emotional event atlas; predicting safe intervention
time windows based on the atlas and
sleep staging; executing personalized interventions and collecting physiological feedback data to form a closed-
loop optimization system. This invention achieves
high temporal resolution, event-oriented nighttime emotional dynamic identification and safe intervention, improving the accuracy and reliability of emotion monitoring.