Cerebral hemorrhage prediction method and system based on PCA-BP neural network

Abstract

The invention discloses a cerebral hemorrhage prediction method and system based on a PCA-BP neural network, and the method comprises the following steps: collecting human physiological data and arm amplitude data through a physiological information collection module and an arm amplitude detection module respectively, and taking the data as the input of a cerebral hemorrhage probability prediction model and an arm amplitude detection model; establishing a cerebral hemorrhage probability prediction model and an arm amplitude detection model through a PCA-BP neural network algorithm; whether the detected human body suffers from cerebral hemorrhage or not is judged through the cerebral hemorrhage probability prediction model, and whether the detected human body is paralyzed or not is judged through the arm amplitude detection model. The cerebral hemorrhage probability prediction model and the arm amplitude detection model are established through the PCA-BP neural network algorithm, cerebral hemorrhage is predicted in combination with the cerebral hemorrhage probability prediction model and the arm amplitude detection model, and accurate judgment of human cerebral hemorrhage is improved to a great extent.

Description

technical field [0001] The invention relates to the field of medical technology, in particular to a method and system for predicting cerebral hemorrhage based on a PCA-BP neural network. Background technique [0002] Cerebral hemorrhage (cerebral hemorrhage) refers to the hemorrhage caused by the rupture of blood vessels in the non-traumatic brain parenchyma, accounting for 20% to 30% of all strokes, and the acute mortality rate is 30% to 40%. The cause is mainly related to cerebrovascular lesions, that is, it is closely related to hyperlipidemia, diabetes, hypertension, vascular aging, and smoking. Patients with cerebral hemorrhage often develop sudden onset due to emotional agitation and exertion, and early mortality is very high. [0003] At present, the judgment mechanism for predicting cerebral hemorrhage in the market is that when a certain physiological index or multiple physiological indicators (such as pulse, blood pressure, etc.) exceed its set threshold, or when ...

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Problems solved by technology

[0004] One of the purposes of the present invention is to provide a method for predicting cerebral hemorrhage based on PCA-BP neural network, to solve the technical problem of how to improve the accuracy of cerebral hemorrhage prediction

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