Method and device for predicting blood pressure

Abstract

The invention provides a method and device for predicting blood pressure. The method for predicting the blood pressure comprises the steps of configuring a neural network for predicting the blood pressure; training the neural network on the basis of preset multiple groups of training samples to obtain the trained neural network; and predicting blood pressure data of a human body according to the trained neural network. According to the method and the device, the blood pressure of the human body can be accurately predicted, and prevention and health management of diseases are facilitated.

Description

technical field [0001] The present invention relates to the technical field of medical informatization, and in particular, to a blood pressure prediction method and device. Background technique [0002] Blood pressure is the pressure that acts on the walls of blood vessels when blood flows in the blood vessels, and it is the driving force that promotes the flow of blood in the blood vessels. Normal blood pressure is the premise of blood circulation, and blood pressure is kept normal under the regulation of various factors, so as to provide sufficient blood volume to various tissues and organs to maintain normal metabolism. Blood pressure that is too low (hypotension) or too high (hypertension) can cause serious consequences, and the disappearance of blood pressure is a precursor to death, which shows that blood pressure has extremely important biological significance. [0003] At present, the measurement of human arterial blood pressure uses an indirect measurement method, ...

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Problems solved by technology

Although the blood pressure data is also analyzed through a fixed-structure neural network in related technologies, due to the

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