Deep sound stimulation system and method for sleep regulation

Abstract

The invention relates to a system and method using a deep neural network to select and optimize sound stimulation so as to regulate and improve human body sleep quality. The deep neural network can represents the external stimulation (images, sounds and the like) information processing of human brain cortical neurons. By inputting massive sound stimulation into the deep neural network, the sound mode capable of optimizing the model estimated sleep brain waves can be found, the sound mode is applied to a real human body, and the strength of corresponding sleep waves of the human body in different sleep stages is enhanced through closed loop optimization so as to regulate sleep. The system and method is mainly used to solve the technical problem of how to use the deep neural network to select and optimize the used sound stimulation to improve the sleep quality to the maximum extent when the sound stimulation (music, voices, natural sounds, white / colored noise and the like) is used to assist human body sleep.

Description

technical field [0001] The invention relates to a deep sound stimulation system and method for sleep regulation, which regulates slow-wave sleep to enhance slow-wave activity and promote subjects to enter deep sleep as soon as possible. Background technique [0002] Neuroscience and clinical medicine research results show that sleep is crucial to maintaining normal physiological functions of the human body. Improving sleep quality through sleep regulation is of great value for promoting human physical and mental health, and it is especially important for people suffering from sleep disorders. The current sleep regulation methods include: (1) Psychotropic drug regulation, through the use of psychotropic drugs to inhibit the relevant excitatory activities of the central nervous system, thereby promoting sleep, the disadvantage is that it is easy to cause drug dependence and is accompanied by relatively large side effects; (2) Psychotherapy, relieve sleep disorders caused by p...

AI Technical Summary

Problems solved by technology

The method of selecting the sound of the same frequency band for stimulation according to the sleep EEG spectrum only considers the similarity in the frequency spectrum between the sleep EEG and the sound stimulation used, and each sleep EEG rhythm (theta wave, delta wave, etc.) It is still unknown whether the sound stimulation of the same frequency band can achieve the best enhancement of sleep-related neural activities, and the method of directly using natural white noise with a wider spectrum range for stimulation is even more lacking in sound screening

Similarly, the method of selecting sound stimuli from the music library based on the correlation between the acoustic characteristics of the music and the sleep EEG signal cannot be sure that the selected sound stimuli will stimulate sleep-related neural activities, and this method depends on the subject's Therefore, if you choose the most suitable music for the subject from a large number of music, it will be difficult to achieve due to the huge workload, so it is difficult to optimize the sound stimulation

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