Cardiovascular disease risk control method based on big data

A disease risk and cardiovascular technology, applied in the medical field, can solve the problems of slow data analysis speed, affecting detection efficiency, and inability to accurately determine cardiovascular information parameters, etc., to achieve the effect of improving analysis and calculation speed and improving detection efficiency

Inactive Publication Date: 2018-11-06
北京京大律业知识产权代理有限公司
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AI Technical Summary

Problems solved by technology

[0003] To sum up, the problems existing in the existing technology are: the speed of existing cardiovascular disease risk control analysis data ...

Method used

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  • Cardiovascular disease risk control method based on big data
  • Cardiovascular disease risk control method based on big data
  • Cardiovascular disease risk control method based on big data

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Embodiment Construction

[0048] In order to make the object, technical solution and advantages of the present invention more clear, the present invention will be further described in detail below in conjunction with the examples. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0049] The application principle of the present invention will be further described below in conjunction with the accompanying drawings and specific embodiments.

[0050] Such as figure 1 As shown, a kind of cardiovascular disease risk control method based on big data provided by the present invention comprises the following steps:

[0051] Step S101, detecting the patient's cardiovascular data information through the heart rate detection module, blood pressure detection module, and blood flow velocity detection module;

[0052] Step S102, sending the detection data to the cloud service module through the single-chip micr...

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Abstract

The invention belongs to the technical field of medical treatment, and discloses a cardiovascular disease risk control method based on big data. A cardiovascular disease risk control method system based on the big data comprises a heart rate detecting module, a blood pressure detection module, a blood flow velocity detecting module, a single chip microcomputer control module, a cloud service module, a parameter calculation module, an early warning module, a data storage module, a displaying module, a real-time analyzing module, a predicating model module, a data managing module and an analysisresult reporting module. The analyzing and calculation speed of cardiovascular disease risk data can be greatly improved through the cloud service module, and the detecting efficiency is improved; arterial pressure waveform data of a subject is provided and analyzed by the parameter calculation module, and therefore it is determined whether or not the subject experiences an abnormal state. A multivariate statistic model is applied to the arterial pressure waveform data, and therefore cardiovascular parameters of the subject are determined.

Description

technical field [0001] The invention belongs to the field of medical technology, and in particular relates to a big data-based cardiovascular disease risk control method. Background technique [0002] The heart is a hollow muscular organ located in the middle of the chest cavity, divided into two chambers by a septum, and each chamber is divided into two parts: the upper atrium and the lower ventricle. The atria collect blood from the heart, and the ventricles eject blood from the heart. There are valves at the inlet and outlet of the ventricles that allow blood to flow in one direction. Under different physiological conditions of the human body, the metabolic levels of various organs and tissues are different, and the requirements for blood flow are also different. Cardiovascular activity can change cardiac output and peripheral resistance under the mediation of the body's nerves and body fluids, and coordinate the distribution of blood flow among various organs and tissu...

Claims

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Application Information

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IPC IPC(8): A61B5/021A61B5/0285
CPCA61B5/021A61B5/0285
Inventor 不公告发明人
Owner 北京京大律业知识产权代理有限公司
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