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Student health monitoring system based on big data

A health monitoring system and big data technology, applied in the direction of health index calculation, epidemic warning system, informatics, etc., can solve the problems that students can't find hidden diseases, can't get timely rescue, can't find students' health relationship, etc.

Pending Publication Date: 2020-06-16
明瞳健康管理(杭州)有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] 1) Lack of effective means and measures to monitor the physical health of students, resulting in students being unable to discover hidden diseases in a timely manner, and thus unable to receive timely assistance;
[0004] 2) Without sufficient data support, it is impossible to discover the relationship between the various indexes of students' physical health

Method used

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  • Student health monitoring system based on big data
  • Student health monitoring system based on big data
  • Student health monitoring system based on big data

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0065] It is used to analyze the relationship between indoor and outdoor exercise and heart rate, blood pressure and visual fatigue, and to match the corresponding treatment correction suggestion information.

[0066] Such as figure 1 As shown, the student health monitoring system based on big data includes vision detection module and sports bracelet detection module. The vision detection module is used to obtain pupil diameter value, rainbow response time, pupil response time and pupil-corneal reflection vector coordinates, pupil diameter The value is used to reflect the size of the pupil diameter of the examinee under natural light, the rainbow response time is used to reflect the reaction time of the examinee’s vision to capture the bright pattern, and the pupil response time is used to reflect the pupil’s adaptation time to changes in light brightness , The pupil-corneal reflection vector coordinate is used to reflect the deviation between the pupil center and the corneal refl...

Embodiment 2

[0092] Determine the cutting center for the doctor before performing myopia correction surgery:

[0093] The vision detection module is also equipped with an offset prediction strategy. The offset prediction strategy includes a dynamic display control step, a dynamic area acquisition step, a pupil area acquisition step, a training data acquisition step, and a coefficient correction step.

[0094] The training data acquisition step, through the dynamic display control step, the dynamic area acquisition step, and the pupil area acquisition step in turn, acquires multiple pupil dynamic image information as the pupil image training information. The pupil diameter measurement algorithm measures the multiple pupil image training information respectively, and obtains Multiple dynamic training pupil diameter values, double-filtered pupil center and corneal reflection spot center positioning algorithm recognizes multiple pupil image training information to obtain multiple pupil-corneal refle...

Embodiment 3

[0098] Used to analyze the relationship between indoor and outdoor exercise and heart rate, blood pressure, and the prevalence of hand, foot and mouth disease.

[0099] The student health monitoring system based on big data includes a hand, foot and mouth disease detection module and a sports bracelet detection module. The hand, foot and mouth disease detection module is used to obtain the disease index value, which is used to reflect the testee’s hand, foot and mouth disease risk,

[0100] The sports bracelet detection module includes a heart rate detection unit, a movement step count detection unit, a blood pressure detection unit, a body temperature detection unit and a WiFi detection unit. The heart rate detection unit is used to detect the heart rate changes of the exercise subject in real time to obtain the heart rate value, and the movement step count detection The unit is used to detect the accumulated amount of exercise steps of the exercise subject in real time to obtain ...

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Abstract

The invention discloses a student health monitoring system based on big data. The system comprises a hand-foot-and-mouth disease detection module, an eyesight detection module and a sports bracelet detection module. The hand-foot-and-mouth disease detection module is used for obtaining a disease index value which is used for reflecting the risk that the detected person suffers from the hand-foot-and-mouth disease. The eyesight detection module is used for obtaining a pupil diameter value, siphon response time, pupil response time and pupil-corneal reflection vector coordinates, wherein the pupil diameter value is used for reflecting the pupil diameter of the detected person under the irradiation of natural light; the siphon response time is used for reflecting the response time of capturing a bright pattern by the vision of the detected person; the pupil response time is used for reflecting the adaptive time of the pupil to the illumination brightness change; and the pupil-corneal reflection vector coordinates are used for reflecting the offset of the pupil center and the corneal reflection facula center. The information is input into a database to serve as big data information tobe analyzed, and the big data analysis step is used for analyzing the big data information to be analyzed to obtain analytical judgment information.

Description

Technical field [0001] The invention relates to the technical field of student health data collection, in particular to a student health monitoring system based on big data. Background technique [0002] With the progress and vigorous development of society, and with the blowout development of education, the issue of "healthy growth of students" caused by this has become the top priority of campus construction. Only by effectively guaranteeing the physical health of students can the overall construction and promotion of education be promoted. At present, most of the detection devices are aimed at people living alone, widowed elderly or people in need of health testing, while ignoring the group of students. At present, there are many problems in student health as follows: [0003] 1) Lack of effective means and measures to monitor the physical health of students, resulting in students not being able to detect hidden diseases in time, and thus unable to receive timely assistance; ...

Claims

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Application Information

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IPC IPC(8): A61B5/0205A61B5/00A61B3/14A61B3/11G16H50/30G16H80/00G16H50/80G01C22/00
CPCA61B5/0205A61B5/002A61B5/681A61B5/7267A61B5/7275A61B3/112A61B3/14G16H50/30G16H80/00G16H50/80G01C22/006A61B5/021A61B5/024
Inventor 王洁
Owner 明瞳健康管理(杭州)有限公司
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