Intelligent sleep monitoring system based on cloud architecture

Abstract

The invention discloses an intelligent sleep monitoring system based on a cloud architecture. The system is characterized by comprising an intelligent equipment terminal, a heterogeneous network transmission device, a cloud server side and a Web client side. The intelligent equipment terminal comprises an intelligent sleep monitor, a sleep light, an aromatherapy diffuser, a positioning bracelet, ahealth integrated machine and the like; the cloud server side comprises a data receiving module, a data processing module and a data storage module, the core of the data processing module is to adoptan artificial intelligence sleep staging algorithm to obtain the time occupied by each sleep stage to generate a sleep quality report; according to the Web client side, five modules of sleep monitoring, my equipment, sleep assisting tools, personal center and medical care and nutrient combination are designed. The intelligent sleep monitoring system has the functions of sleep assisting service, sleep physiological data monitoring, abnormal monitoring alarm, intelligent data analysis and personalized customization.

Description

technical field [0001] The invention belongs to a smart home system, in particular to a smart sleep monitoring system based on a cloud architecture. Background technique [0002] With the quickening pace of life, more and more people have various sleep problems, and quite a lot of patients with sleep problems have not received reasonable diagnosis and treatment. Since people lack awareness of sleep disorders and cannot take appropriate measures to improve sleep conditions, monitoring a person's sleep process and analyzing their sleep characteristics is of great significance for improving people's sleep quality and preventing cardiovascular diseases. [0003] In the field of sleep research in the world, polysomnography is considered to be the standard method for diagnosing sleep disorders. However, due to the shortcomings of the sleep monitoring equipment such as high cost and complicated measurement methods, this method is more suitable for professional clinical research an...

AI Technical Summary

Problems solved by technology

However, these sleep staging methods need to use a large number of wires to connect with the body of the subject to obtain physiological signals, which greatly reduces the comfort of the subject and leads to unsatisfactory monitoring results.

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