Eyemask feedback type sleep-assisting system with micro-current stimulation

Abstract

An eyemask feedback type sleep-assisting system with micro-current stimulation includes an eyemask body; the eyemask body internally includes a human-computer interaction module, a control module, a stimulation output module, a sensor module and a signal analysis module. The human-computer interaction module includes a first light touch switch. The sensor module collects a user physiological electrical signal in real time and transmits the physiological electrical signal to the signal analysis module. The characteristics of multidimensional sleep data are extracted by the signal analysis module; the control module receives the data of the signal analysis module, then makes a regulation instruction and sends the regulation instruction to the stimulation output module; the stimulation signal is outputted by the stimulation output module according to the regulation instruction so as to promote sleep. The automatic classification and recognition algorithm based on an artificial intelligence method identifies the sleeping state of a human body from EEG and Eye signals of a user, then appropriate specific waveforms are outputted, a closed-loop feedback control loop is formed; abnormal EEG is improved, the secretion of brain neurotransmitters and stress hormones is regulated to quickly alleviate insomnia problems and the sleep quality of the user is improved.

Description

technical field [0001] The invention relates to the field of medical electronics, in particular to an eye mask feedback type micro-current stimulation sleep assisting system. Background technique [0002] Good sleep can relieve people's fatigue of the day and promote the body's metabolism. However, with the acceleration of the pace of life and the surge of work pressure, insomnia caused by various reasons has caused more and more people to be in a sub-health state. According to the World Health Organization's survey of more than 20,000 people in primary medical care in 14 countries, it was found that 27% of them had sleep problems. According to the survey results published by the Chinese Sleep Research Association, the incidence of insomnia among Chinese adults is 38.2%. [0003] At present, insomnia therapy mainly includes drug treatment and non-drug treatment. Drug therapy is prone to drug resistance, addiction, phased reactions and various side effects; non-drug therap...

AI Technical Summary

Problems solved by technology

[0006] 1. Users need to manually select a specific stimulation current mode. This manual selection mode lacks scientific guidance and cannot perform adaptive output adjustments according to the characteristics of each user, and cannot effectively help insomniacs improve sleep quality.

[0007] 2. Lack of real-time collection of human sleep physiological information, lack of closed-loop feedback channels, and inability to adjust the stimulation current in real time based on physiological signals such as EEG and eye electricity, and the effect of sleep aid varies greatly among individuals

[0008] 3. Regarding the question of when to stop external stimulation, existing sleep aid devices generally adopt the method of timing stop, which cannot be adaptively stopped in real time according to the user's sleep state, and too short or too long external stimulation time is not conducive to Improve the user's sleep quality

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