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Intelligent sleep monitoring method and system based on real-world research

A sleep monitoring, real-world technology, applied in the field of sleep research, can solve the problems of not being able to monitor sleep quality at home, missing the best treatment time, etc., to achieve the effect of improving sleep

Active Publication Date: 2019-11-19
珠海中科先进技术研究院有限公司
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  • Application Information

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Problems solved by technology

[0005] The example of the present invention provides an intelligent sleep monitoring method and system based on real-world research. The system can automatically crawl and update real-time data and establish "sleep" related Chinese and English real-world research databases, and automatically complete sleep quality detection and evaluation and semi-intelligent search for sleep. Quality influencing factors, intelligently judge the user's recent sleep quality status, and realize automatic optimization of the system model, solving the problem that in the prior art, people usually only know their sleep quality and improve it by going to the hospital for monitoring and drug control, and cannot I can monitor my own sleep quality at home, and sometimes it causes sleep quality problems without my attention, and I don’t know that I missed the best time for treatment

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  • Intelligent sleep monitoring method and system based on real-world research
  • Intelligent sleep monitoring method and system based on real-world research
  • Intelligent sleep monitoring method and system based on real-world research

Examples

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Effect test

example 1

[0061] An intelligent sleep monitoring method based on real-world research, including steps:

[0062] S1: Establish an evaluation object, and acquire real-world historical sleep data of the evaluation object;

[0063] S2: After cleaning and classifying the real-world historical sleep data in step S1, obtain a sleep quality evaluation data set through sentiment analysis;

[0064] S3: train the sleep quality evaluation data set of step S2, and establish a sleep quality prediction model of sleep non-related data;

[0065] S4: Obtain the current non-relevant real-world data of the evaluation object to form an input set, and output the sleep quality evaluation result through the sleep quality prediction model in step S3;

[0066] S5: Summarize sleep-influencing factors through clustering algorithms, and establish sleep-related data sets with identification attributes of influencing factors;

[0067] S6: Train sleep-related data sets with identification attributes of influencing f...

example 2

[0083] Intelligent sleep monitoring system, including:

[0084] Real-world data collection module, used to search and crawl historical sleep data;

[0085] Data cleaning and classification module, used to clean and classify historical sleep data;

[0086] Training, verification and test data set integration module, used for training, verification and testing of historical sleep data;

[0087] The sleep quality monitoring and evaluation module is used to judge the emotional tendency of the evaluation object on sleep topics, and determine the evaluation object's evaluation of its own sleep quality;

[0088] The cluster analysis module of sleep influencing factors is used to calculate the Perplexity value of the cleaned training and verification data to determine cluster data, cluster the cluster data, and extract keywords of each category as real world evidence of sleep influencing factors;

[0089] The sleep influencing factor classification module is used to classify the sle...

example 3

[0103] For example: the cleaned up data: "Recently I feel very irritable, I can't sleep well, I wake up at night and take some medicine, but I can't sleep well", another message sent by the commenter that day "Fortunately, the pharmacy downstairs is open 24 hours ", the sorted "I can't sleep well, and I can't sleep well" as the input set of the sleep quality detection and evaluation module; the sleep-related data in units of bars "I feel very irritable recently, and I can't sleep well at night. Get up and eat something, and don’t sleep well” as the data input set of the cluster analysis module of factors affecting sleep; data that is not related to sleep in units of bars “Fortunately, the pharmacy downstairs is open 24 hours” is used as the data input set of the classification module of factors affecting sleep Data input set. The separation of sleep-related data sets in this example is based on the lexicon to identify "sleep" / "sleep" related data sets, and establish the "sleep...

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Abstract

The embodiment of the invention provides an intelligent sleep monitoring method and system based on real-world research. The system can automatically crawl and update real-time data and establish a 'sleep'-related Chinese and English real-world research database to automatically complete sleep quality detection evaluation, semi-intelligently search for sleep quality influence factors, intelligently judge the recent sleep quality status of a user and achieve an automatic optimization system model, thereby solving the problems in the prior art that people usually can only know and improve theirsleep quality through monitoring in the hospital and through drug control, cannot monitor their own sleep quality at home, paying no attention themselves when sleep quality problems are caused, and know nothing about that they have missed the best treatment time.

Description

technical field [0001] The invention belongs to the technical field of sleep research, in particular to an intelligent sleep monitoring method and system based on real-world research. Background technique [0002] One-third of human life is in sleep, and good sleep is an essential condition for restoring physical strength and maintaining mental and physical health. Sleep quality is closely related to human physical and mental health. Sufficient sleep can improve work efficiency, increase energy, and promote human growth and development. Lack of sleep can lead to fatigue, distraction, poor concentration, poor memory, and worse, diabetes, obesity, depression, sleep disturbance, sleep apnea syndrome and other diseases. People have gradually realized the importance of sleep health and learned that the distribution of sleep stages plays a vital role in sleep quality. Therefore, the acquisition and analysis of human sleep data, as well as the evaluation of sleep quality and the ...

Claims

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Application Information

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IPC IPC(8): G16H50/30G16H50/70G06F16/215G06F16/28G06F16/953
CPCG16H50/30G16H50/70G06F16/215G06F16/285G06F16/953
Inventor 王涵吴锋
Owner 珠海中科先进技术研究院有限公司
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