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Intelligent health monitoring and early warning system and method based on sleeping big data

An intelligent health and early warning system technology, applied in alarms, instruments, etc., can solve problems such as monotonous functions, lack of data service systems, and lack of professionalism

Inactive Publication Date: 2019-03-12
HUAIHUA UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] (1) The form is single, and the phenomenon of homogeneity of the same kind is serious;
[0006] (2) The function is monotonous, and the sleep monitoring function is a gimmick, lacking in professionalism;
[0007] (3) Lack of a complete data service system;
[0008] (4) The accuracy of temperature monitoring of users during sleep is not high

Method used

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  • Intelligent health monitoring and early warning system and method based on sleeping big data
  • Intelligent health monitoring and early warning system and method based on sleeping big data
  • Intelligent health monitoring and early warning system and method based on sleeping big data

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Embodiment Construction

[0044] The intelligent health monitoring and early warning system and method based on sleep big data provided by the present invention will be described in detail below in conjunction with the drawings and embodiments.

[0045] Such as figure 1 As shown, the intelligent health monitoring and early warning system based on sleep big data includes a central processing unit 1, an infrared body temperature sensor 2, a signal processing circuit 3, a humidity sensor 4, a sweat monitoring module 5, an electrocardiogram monitoring module 6, a motion monitoring module 7, a blood Oxygen monitoring module 8, respiratory rate monitoring module 9, image acquisition module 10, image processing module 11, wireless sending module 12, wireless receiving module 13, controller 14, big data server 15, display module 16, storage module 17, wireless transmission Module 18 and mobile terminal 19.

[0046] Wherein, the output end of infrared body temperature sensor 2 is connected with the input end o...

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Abstract

The invention provides an intelligent health monitoring and early warning system and method based on sleeping big data. According to the method, the body temperature information, respiration frequency, heart signal spectrum, sweat component information, sweating amount, turning time, amplitude and the oxygen content in blood and image information when a user sleeps are monitored by using a centralprocessing unit, an infrared body temperature sensor, a signal processing circuit, a humidity sensor, a sweat monitoring module, an electrocardiogram monitoring module, a moving monitoring module, ablood oxygen monitoring module, a respiration frequency monitoring module, a display module, a storage module, a wireless transmission module and a mobile terminal.

Description

technical field [0001] The invention relates to the field of intelligent testing, in particular to an intelligent health monitoring and early warning system and method based on sleep big data. Background technique [0002] In modern society, the pace of daily life and work is accelerating, competition is becoming increasingly fierce, and pressure is increasing. A series of sub-health states and related complications caused by low-quality sleep have attracted people's attention. [0003] Therefore, an effective sleep monitoring system can enable users to clearly know the sleep status of themselves or their family members, and it is of great significance to improve sleep quality and life quality in a targeted and personalized manner. At the same time, along with the "great significance", there is also a huge commercial value. [0004] However, judging from the current form of related products on the market, the product form and system composition have the following drawbacks:...

Claims

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Application Information

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IPC IPC(8): G08B21/02G08B21/06G08B29/18
CPCG08B21/0208G08B21/0211G08B21/0233G08B21/0283G08B21/06G08B29/185
Inventor 邓小武彭小宁石元泉米春桥邓绍伟
Owner HUAIHUA UNIV
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