This invention relates to a sleep-aiding method and
system based on
heart rate variability
biofeedback, belonging to the field of sleep health management technology. It solves the problem that existing sleep-aiding technologies, which rely on visual
biofeedback and lack mechanisms for recognizing sleep trends and automatically exiting
sleep patterns, are prone to overstimulation. The method includes: acquiring
vital signs signals at multiple time steps and a sleep-aiding
rhythm signal at the
current time step; the
vital signs signals include PPG sensor signals and IMU sensor signals; determining the
signal quality index for each
time step based on the PPG sensor signals from multiple time steps; calculating the
body movement intensity at each
time step based on the IMU sensor signals from multiple time steps; and adjusting the sleep-aiding
rhythm signal based on the
signal quality index and
body movement intensity at the
current time step or multiple time steps. This invention achieves full-process
sleep management with light-free
biofeedback, automatic sleep trend recognition, and nighttime awakening re-intervention, improving the effectiveness of sleep-aiding guidance.