Non-invasive monitoring system for cardiac output

Abstract

The invention discloses a non-invasive monitoring system for cardiac output. The non-invasive monitoring system comprises a data acquisition control module, a non-invasive peripheral arterial blood pressure measurement module, a waveform screening module, a data preprocessing module, a cardiac output calculation module and a data display module; the data acquisition control module is used for controlling a data acquisition and data transmission process; the waveform screening module is used for classifying and screening peripheral arterial blood pressure waveforms to obtain A-type waveforms; the data preprocessing module is used for preprocessing A-type waveforms and sending the A-type waveforms to the cardiac output calculation module; the cardiac output calculation module comprises a neural network trained through a sample set, the trained neural network has the end-to-end recognition capability, namely, peripheral arterial blood pressure waveforms are input, corresponding cardiac output is output, and the cardiac output is sent to the data display module through the data acquisition control module. According to the invention, end-to-end identification is carried out, and the cardiac output can be continuously monitored in a non-invasive manner.

Description

Technical field [0001] The present invention belongs to the field of heart output measurement, in particular, to the field of non-invasive output measurement technology. Background technique [0002] The heart output (CO) refers to the amount of radiation per minute, which is the most important parameter of the health status of the medical vascular system. It is an important diagnosis basis for cardiac function and cardiovascular disease. In addition, based on the amount of cardiovascular system parameters can be assisted, many other cardiovascular system parameters can be assisted, so the accurate measurement of cardiovascular output is very important in cardiovascular disease detection and treatment, it has important clinical significance. [0003] At present, the device and method for measuring the amount of cardiac output are divided into innovative, minimally invasive and non-invasive three categories. There is a damage to the human body damage and cannot continue to operate...

AI Technical Summary

Problems solved by technology

Some scholars have proposed the method of using pulse wave features to measure CO, but most of them are limited to artificially extracting relevant features from the pulse wave, then calculating the stroke volume based on these features, and then calculating the cardiac output based on the stroke volume, and the measurement efficiency is low. , requires manual intervention, cannot achieve 24-hour continuous monitoring, and is affected by subjective factors, the measurement accuracy needs to be improved

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