Method for extracting blood pressure data from pulse wave signal and device thereof

Abstract

The invention discloses a method for extracting blood pressure data from a pulse wave signal and a device thereof. The method comprises: model training and blood pressure data extraction; wherein themodel training comprises: acquiring the pulse wave and corresponding blood pressure data, and performing preprocessing; performing complete waveform detection and separation of the pre-processed pulsewave; performing frequency domain transformation on each complete pulse wave waveform, and extracting the frequency domain features; taking the frequency domain feature as an input, taking the corresponding blood pressure value as an output, combining with the neural network for predictive model training, and obtaining a blood pressure data prediction model. The blood pressure data extraction includes the following steps: inputting the frequency domain feature to-be-predicted into a blood pressure data prediction model, and outputting a blood pressure value. The pulse wave is detected and separated, the frequency domain is transformed to extract features, which can effectively avoid the problem of difficult feature detection in a time domain feature extraction method, provides more accurate samples for subsequent model training with neural network, and improves the prediction accuracy of blood pressure measurement and reduces the prediction error.

Description

technical field [0001] The invention relates to the field of intelligent medical treatment, in particular to a method and device for extracting blood pressure data from pulse wave signals. Background technique [0002] This research work has been supported by the National Natural Science Foundation of China project (NO.61571268), the major science and technology project of the Guangdong Provincial Department of Science and Technology - the Internet of Things platform and demonstration project for remote human physiological multi-parameter real-time monitoring and analysis based on smart phone monitors, and Supported by the Shenzhen Municipal Development and Reform Commission's major scientific and technological project-the industrialization of the smart phone-based remote human physiological multi-parameter real-time monitoring and analysis network platform. [0003] With each beat of the heart, blood is ejected from the ventricles into the aorta. Each jet exerts a force on...

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Problems solved by technology

[0006] In order to solve the problems of difficult detection of pulse wave feature points and poor generalization ability of the built model, the present invention proposes a method and device for extracting blood pressure data from pulse wave signals, which can non-invasively, continuously, conveniently and accurately measure human body dynamic blood pressure

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