User sleep detection method and system

Abstract

The invention provides a sleep staging method and system for a user. Bioelectrical signals of the user are obtained from the ear side of the user through an ear side worn device; biological characteristic signals are extracted from the bioelectrical signals of the user for comprehensively analyzing the sleep condition of the user; it is judged whether the ear-side worn device can work normally ornot according to the impedance value of the ear-side worn device. The ear-side worn device is used for acquiring signals so that the signals can be acquired more conveniently and easily, the sleep state of the user can be judged more accurately by considering various signals, and meanwhile the correct wearing of the device and the accuracy of measurement signals are ensured. The method can be applied to the artificial intelligence field for intelligently monitoring the sleep condition of the user so as to improve the sleep quality of the user in a targeted manner based on monitoring results.

Description

technical field [0001] The present application relates to the field of data processing, in particular to the analysis and processing of bioelectrical signals of the human body, and a method and system for obtaining the user's current sleep classification results through the analysis and processing of bioelectrical signals. Background technique [0002] Sleep plays an important role in human life. Due to the high pressure of life, the quality of sleep of modern people is getting lower and lower. How to accurately detect people's sleep status, and accordingly remind people to pay attention to their own sleep status or help people get better quality sleep has become the focus of attention. [0003] At present, the main ways to detect the sleep state are: through the wristband to detect the characteristic data of sleep, the collected data includes the number of times the arm swings from rest, the number of times the arm is in a rest state, the time of continuous arm activity, an...

AI Technical Summary

Problems solved by technology

Although this method has a simple algorithm and mature devices, it cannot accurately distinguish between different stages of sleep; or it can be measured by measuring the heart rate through a sleeping pillow or sleeping pad. The heart rate will increase or decrease during the transition of a specific sleep stage. The heart rate slows down during the transition, slightly increases during REM, and then becomes the slowest during deep sleep. However, the disadvantage is that sleep staging is not accurate, and it is not easy to do physiological feedback through staging to improve sleep; in addition, there are medical sleep measurements The equipment is widely used in various medical institutions. However, due to its large size, many connections of human body sensors, and complicated connections, it is only suitable for use on hospital beds. The environment of the place of use is limited and the comfort is not good. For daily sleep and fatigue monitoring

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