Pre-eclampsia regulation and control analysis system based on machine learning

A preeclampsia, analysis system technology, applied in analysis of materials, image analysis, analysis of gas mixtures, etc., can solve problems such as the absence of high-precision prediction

Pending Publication Date: 2022-05-27
PEOPLES HOSPITAL OF HENAN PROV
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0003] Among them, abnormal twitching of limbs, dilated pupils of the eyes, or apnea are the harbingers of eclampsia, but there is no t

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  • Pre-eclampsia regulation and control analysis system based on machine learning
  • Pre-eclampsia regulation and control analysis system based on machine learning
  • Pre-eclampsia regulation and control analysis system based on machine learning

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Embodiment Construction

[0029] The machine learning-based preeclampsia regulation and analysis system provided by the present invention will be described in detail below with reference to the accompanying drawings and embodiments.

[0030] like Figure 1-4 As shown, the preeclampsia regulation and analysis system based on machine learning provided by the present invention, the preeclampsia regulation and analysis system based on machine learning includes three testing institutions, which are respectively a mask with a carbon dioxide sensor placed in the carbon dioxide sensor placement tank 1, Glasses of the image acquisition device and n vibration sensors installed on the limbs are placed in the image acquisition device placement slot 2, wherein n is an integer greater than or equal to 4.

[0031] Preferably, the carbon dioxide sensor is used to monitor the carbon dioxide signal in the user's breathing, the image acquisition device is used to collect the user's pupil image information, and n vibratio...

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Abstract

The invention provides a pre-eclampsia regulation and control analysis system based on machine learning, which comprises three testing mechanisms, namely a vibration frequency testing mechanism, an eye pupil area testing mechanism and a carbon dioxide content testing mechanism, a vibration testing device is arranged on a limb, an image acquisition device is arranged on glasses, and the carbon dioxide content testing mechanism is arranged on the limb. The carbon dioxide testing device is mounted in the mask, so that a user can be conveniently tested in real time; in the vibration frequency test, the frequencies are calibrated through the relationship among the frequencies, and a reference frequency value is obtained; in the image acquisition process, an image processing unit is used for carrying out sharpening processing on an image, and the pupil area is calibrated through a gray value; in a carbon dioxide test, a signal denoising unit is used for carrying out high-precision test on a carbon dioxide signal; and finally, the microprocessor establishes a prediction model according to the received carbon dioxide signal, the image information and the data of the frequency extraction unit, and the early warning analysis unit performs risk evaluation according to the prediction model.

Description

technical field [0001] The invention relates to the medical and health field, in particular to a machine learning-based preeclampsia regulation and analysis system. Background technique [0002] Eclampsia is unexplained convulsions that occur on the basis of preeclampsia. It is one of the five conditions of hypertensive disorder of pregnancy and can also be an urgent serious complication of preeclampsia. A typical example is that the patient first has fixed eyeballs, dilated pupils, and immediately turns his head to one side, clenches his teeth, and then trembles in the corners of the mouth and facial muscles, tonic contraction of the muscles of the whole body and limbs (the back side is stronger than the abdomen side), and the hands are tight. Grip, arms straight, and jerk violently quickly. During the convulsions, the apnea stops, the complexion is blue and purple, and the intensity of the convulsions gradually decreases for about 1 minute. The muscles of the whole body ...

Claims

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Application Information

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IPC IPC(8): G16H50/30A61B5/00G06T7/00G06T7/62G06T5/00G01N33/00G01H17/00
CPCG16H50/30A61B5/4094G06T7/0012G06T7/62G06T5/002G06T5/009G01N33/004G01H17/00G06T2207/30041G06T2207/30196
Inventor 周丽萍程相红杨东琪王真真王莉
Owner PEOPLES HOSPITAL OF HENAN PROV
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