Deep sound stimulation system and method for sleep regulation

A deep sound stimulation method for sleep regulation, wherein the method at least comprises the following steps:

• 1) collecting an Electroencephalograph (EEG) signal of a subject;
• 2) estimating, according to the EEG signal recorded by an EEG collection module, a current sleep stage of the subject;
• 3) selecting, from a deep optimization sound library and according to the current sleep stage given by a sleep monitoring module, a group of designated number of optimal sound stimuli marked as the same sleep stage;
• 4) adjusting the sound stimuli according to the intensity of sleep waves in the EEG signal collected by the EEG collection module to form a closed-loop of sound stimulus-real-time EEG-sound stimulus, and optimizing the sound stimuli;
• and 5) playing the optimized sound stimuli to the subject to obtain an optimal sleep regulation sound for the subject individual.

A method for implementing a sound closed-loop optimization module, comprising the following steps:

• selecting one of a group of optimal sound stimuli given by a sound stimulus selection module for playing, obtaining a real-time energy relative value of an Electroencephalograph (EEG) frequency band corresponding to a current sleep state of a subject from a sleep monitoring module while playing the sound, taking the relative value as an evaluation value of the sleep quality in a current sleep stage and recording same;
• then, switching to a next sound stimulus in the group, and recording a corresponding sleep quality evaluation value until all optimal sound stimuli are traversed;
• finally, selecting, from all the optimal sound stimuli, a designated number of sound stimuli having the highest sleep quality evaluation values as personalized optimal sound stimuli of the corresponding subject;
• and once the personalized optimal sound stimuli for the subject have been determined, skipping the sound stimulus selection module and the closed-loop optimization module, and directly selecting, from the personalized optimal sound stimuli for the subject, a sound stimulus corresponding to the sleep stage for playing, until the measured sleep quality evaluation value reduces by more than 30% of the original sleep quality evaluation value, so that sound stimulus selection and closed-loop optimization may be re-performed.