Noninvasive continuous blood pressure measurement system based on PSO-GRNN neural network

A neural network, blood pressure measurement technology, applied in diagnostic recording/measurement, vascular evaluation, medical science, etc., can solve the problem of low measurement accuracy, and achieve the effect of improving measurement accuracy

Pending Publication Date: 2021-07-16
ZHUHAI COLLEGE OF JILIN UNIV +1
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  • Abstract
  • Description
  • Claims
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AI Technical Summary

Problems solved by technology

However, human blood pressure is affected by many factors, and continuous blood pressure measurement is affected by many factors, so the measurement accuracy is not high. Therefore, how to improve the measurement accuracy of continuous blood pressure has become an important issue.

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  • Noninvasive continuous blood pressure measurement system based on PSO-GRNN neural network
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  • Noninvasive continuous blood pressure measurement system based on PSO-GRNN neural network

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Embodiment Construction

[0031] Embodiments of the present invention are described in detail below, examples of which are shown in the drawings, wherein the same or similar reference numerals designate the same or similar elements or elements having the same or similar functions throughout. The embodiments described below by referring to the figures are exemplary only for explaining the present invention and should not be construed as limiting the present invention.

[0032] In the description of the present invention, the meaning of several means one or more, and the meaning of multiple means two or more than two. Greater than, less than, exceeding, etc. are understood as not including the original number, and above, below, within, etc. are understood as including the original number . If the description of the first and second is only for the purpose of distinguishing the technical features, it cannot be understood as indicating or implying the relative importance or implicitly indicating the number...

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Abstract

The invention discloses a noninvasive continuous blood pressure measurement system based on a PSO-GRNN neural network. The system comprises a pulse signal acquisition module, a blood pressure acquisition module, a server module which used for receiving collected pulse wave signals, performing de-noising processing based on discrete wavelet transform, obtaining pulse wave feature points, calculating feature parameters based on the pulse wave feature points, taking the feature parameters as an input matrix of a training set, taking blood pressure signals corresponding to the pulse signals as output values of the training set, performing model training based on the PSO-GRNN neural network to obtain a trained blood pressure prediction model, and obtaining a blood pressure prediction value through the feature parameters on the basis of the trained blood pressure prediction model; and a terminal module which is connected with the server module and is used for displaying the pulse wave signals subjected to de-noising processing and the blood pressure predicted value. According to the method, dynamic modeling is performed on the pulse wave feature parameters based on the PSO-GRNN neural network, and the continuous blood pressure measurement accuracy is improved.

Description

technical field [0001] The invention relates to the technical field of noninvasive continuous blood pressure measurement, in particular to a noninvasive continuous blood pressure measurement system based on PSO-GRNN neural network. Background technique [0002] As an important physiological parameter, blood pressure (BP) is not only closely related to cardiovascular health, but also can reflect the health of the human brain and cardiovascular system, so it can play a role in pathological diagnosis, curative effect observation, and disease judgment. Positive application value. [0003] Existing blood pressure measurement methods are divided into intermittent blood pressure measurement methods and continuous blood pressure measurement methods. Intermittent blood pressure measurement methods include Korotkoff sound auscultation, infrasound and oscillometric methods, etc., but this method cannot achieve continuous measurement, and the subject will be restrained by an inflatable...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): A61B5/021A61B5/00
CPCA61B5/02108A61B5/021A61B5/726
Inventor 司玉娟魏媛李美玲周嵘嵘张耕博刘淘涛于永恒
Owner ZHUHAI COLLEGE OF JILIN UNIV
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