A kind of blood pressure prediction method and device based on photoplethysmography signal

Abstract

Embodiments of the present invention relate to a method and device for predicting blood pressure based on photoplethysmography signals. The method includes: generating a PPG signal segment; The wavelet transform method decomposes the signal to generate the PPG wavelet coefficient matrix; converts the PPG wavelet coefficient matrix by taking the modulus of the matrix elements and normalizes the converted matrix to generate the PPG normalized matrix; obtains the RGB color disk matrix, and according to The RGB color wheel matrix performs tensor conversion on the PPG normalized matrix to generate a PPG time-frequency three-dimensional tensor; according to the input width threshold of the convolution network, the PPG time-frequency three-dimensional tensor is reconstructed by a bicubic interpolation algorithm to generate a PPG convolution. Three-dimensional tensor; use the convolutional neural network classification and regression model to perform classification and regression calculations on the PPG convolutional three-dimensional tensor to generate PPG predicted blood pressure data pairs.

Description

technical field [0001] The invention relates to the technical field of electrophysiological signal processing, in particular to a blood pressure prediction method and device based on photoplethysmography signals. Background technique [0002] The heart is the center of human blood circulation. The heart generates blood pressure through regular pulsation, and then supplies blood to the whole body to complete the metabolism of the human body. Blood pressure is one of the very important physiological signals of the human body. Human blood pressure contains two important values: systolic blood pressure and diastolic blood pressure. Medically, these two quantities are used to judge whether the human blood pressure is normal or not. Long-term continuous observation of these two parameters of blood pressure can help people have a clearer understanding of their own heart health. However, most of the traditional blood pressure measurement methods currently use external pressure dete...

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Problems solved by technology

[0003] The purpose of the present invention is to address the defects of the prior art, to provide a blood pressure prediction method and device based on photoplethysmography signals, and to use photoplethysmography (PPG) equipment to perform non-invasive data on testers. Acquisition solves the problem that the monitor cannot be continuously observed in conventional monitoring; in order to fully obtain effective signal data from the PPG signal, the embodiment of the present invention uses continuous wavelet transform to decompose the PPG signal; in order to realize automatic learning and prediction capabilities The embodiment of the present invention uses the convolutional neural network model with classification and regression functions to predict the decomposed signal to obtain the tester's blood pressure data (diastolic blood pressure, systolic blood pressure); through the embodiment of the present invention, both the cumbersome and troublesome conventional testing methods are avoided. Discomfort, and an automatic and intelligent data analysis method is produced, so that the application side can conveniently carry out multiple continuous monitoring of the measured object

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