Sleep management device, system and method

Abstract

The invention provides a sleep monitoring system and a sleep monitoring method, relating to the field of constructional engineering. The system and the method are characterized in that the device comprises a sensor group, an intervention device, a central processing unit, a cloud server and a user terminal, wherein the sensor group is connected to a signal amplifier through signals; the signal amplifier is connected to a noise reduction device through signals, and the noise reduction device is connected to the central processing unit through signals; the intervention device is connected to the central processing unit through signals; the cloud server is connected with the central processing unit and the user terminal through signals; the user terminal is connected to the central processing unit and the cloud server through signals; the central processing unit is connected to the cloud server, the sensor group, the intervention device and the user terminal through signals. The system, the method and the device have the advantages of integrated management, long-term analysis, big data analysis, accurate monitoring result, and the like.

Description

technical field [0001] The present invention relates to the medical field, in particular to a sleep management device, system and method. Background technique [0002] Sleep is a spontaneous and reversible resting state that occurs periodically in higher vertebrates, manifested as a decrease in the body's response to external stimuli and a temporary interruption of consciousness. The activity of the normal human brain, like the brains of all higher vertebrates, is always in a state of waking and sleeping alternately. This alternation is one of the biological rhythm phenomena. [0003] With the general acceleration of people's life rhythm, lack of sleep has become a common phenomenon among urbanites today, and many people have seriously affected their work and health due to lack of sleep. Paying attention to sleep and monitoring sleep quality has become a topic that has to be taken seriously in the fast-paced modern life. [0004] And because people have been submerged in ...

AI Technical Summary

Problems solved by technology

[0005] 1. Lack of long-term analysis and evaluation: Since the evaluation of sleep habits and quality is a long-term process, the results obtained by evaluating a person's sleep quality based on a certain day or a certain period of time in the short term are often not accurate

[0006] 2. Lack of integrated management measures: the existing sleep improvement equipment and systems basically control and improve one aspect

Such as alarm clocks, such as hypnotic devices, and because sleep is a complex process, it is also a result of the interaction of many influencing factors, so a single method cannot really improve sleep.

[0007] 3. The results are not accurate enough: because the sensors used in existing sleep monitoring equipment or systems are based on a single basic sensor, such as only blood oxygen sensors, etc.

This will lead to inaccurate results collected by the sensor, and because the process of collecting signals by the sensor often generates some unnecessary noise

Therefore, the subsequent analysis results are inaccurate.

[0008] 4. Lack of big data analysis: There are various factors affecting sleep, and it is difficult to find the main factors and countermeasures that affect a person's sleep from a single information

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