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An intelligent early warning system for sudden diseases in sleep state

An early warning system and sleep state technology, applied in the field of medical treatment, can solve the problems of low diagnosis accuracy, inability to judge the severity of physical abnormalities, and failure to comprehensively consider multiple physical signs data, etc., to achieve the effect of rapid medical protection

Active Publication Date: 2022-05-20
JIANGSU WEIHANG AUTOMOBILE COMM TECH CO LTD
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Problems solved by technology

However, this method is set to determine that there is an abnormality in the body as long as one piece of physiological data exceeds the threshold. It does not comprehensively consider the data of multiple signs, and cannot judge the severity of people's physical abnormalities during sleep; at the same time, this method ignores people during sleep. The error caused by the fluctuation of physical sign data due to the change of sleeping position, dreaming and other factors, the diagnostic accuracy is not high

Method used

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  • An intelligent early warning system for sudden diseases in sleep state
  • An intelligent early warning system for sudden diseases in sleep state
  • An intelligent early warning system for sudden diseases in sleep state

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Embodiment Construction

[0021] The present invention includes four stages, the first stage is to build a Bayesian network diagnosis model; the second stage is to diagnose the user's physical state in a single time segment based on the Bayesian network diagnosis model; the third stage is to combine multiple The time segment is used to comprehensively judge the user's physical state; the fourth stage is to update the initial parameters after the comprehensive judgment of the user's physical state is completed. see Image 6 As shown, the specific steps are as follows:

[0022] In the first stage, a Bayesian network diagnosis model is constructed. see figure 1 , read a large amount of normal human body sign data in the network big data platform through the diagnostic model building module, and establish sample data. The normal human body sign data considers various possible fluctuations of the human body sign data, comprehensively analyzes the various possible fluctuations of the human body signs, and...

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Abstract

The invention discloses an intelligent early warning method for sudden diseases in a sleeping state in the field of medical treatment, using a Bayesian network intelligent algorithm to build a diagnostic model, using a smart pillow as a carrier, and using sensors in the smart pillow to collect signs in a sleeping state The information data is compared with the normal state sign data, and the corresponding sign information data fluctuation value set is obtained through the sign data processing module, and the sign information data fluctuation value is input into the Bayesian network diagnosis module to diagnose the abnormal state of the body; the early warning module Combined with the diagnosis results, make corresponding early warning responses, and make timely treatment for sudden diseases. It can accurately diagnose people's sudden diseases and symptoms during sleep, and fully consider the changes in symptoms caused by the accumulation of time segments, so as to avoid Diagnosis errors caused by short-term fluctuations in physical sign data such as changes in sleeping positions and dreaming.

Description

technical field [0001] The invention relates to the field of medical treatment, and relates to an early warning method for diseases, in particular to an early warning system for sudden illnesses in people's sleep state. Background technique [0002] People spend one-third of their life in sleep, with the accelerated pace of life, overloaded work pressure, etc. have a serious impact on people's sleep quality and health, such as the potential apnea caused Syndrome can lead to problems such as high blood pressure, coronary heart disease, stroke and sudden death, seriously threatening people's health. Cases of death due to sudden illness and failure to receive effective medical treatment in time are not uncommon. For this reason, various health monitoring devices have emerged, which can monitor various physiological indicators in people's daily life and collect various physiological indicators. Publish health reports and give timely feedback, so that people can keep abreast of ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): A61B5/0205G16H50/30A61B5/145
CPCA61B5/02055A61B5/746A61B5/6887G16H50/30A61B5/024A61B5/02108A61B5/14542A61B2503/08Y02A90/10
Inventor 薛红涛吴蒙周嘉文
Owner JIANGSU WEIHANG AUTOMOBILE COMM TECH CO LTD
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