Dynamic noninvasive cardiac output monitoring system and method

Through the dynamic non-invasive cardiac output monitoring system, combined with photovoltaic pulse wave technology and deep learning algorithms, the problem that the existing technology cannot achieve dynamic, continuous, and long-term high-precision cardiac output monitoring is solved, and high-precision cardiac output monitoring is achieved in resting and exercising states, which is suitable for home rehabilitation monitoring of patients with heart failure and structural heart disease.

CN119700065AActive Publication Date: 2025-03-28BEIHANG UNIV
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Patent Information

Application Number
CN202510206550.7
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-02-25
Publication Date
2025-03-28
Estimated Expiration
2045-02-25

AI Technical Summary

Technical Problem

The prior art cannot realize dynamic, continuous, long-term high-precision monitoring of cardiac output, especially in the state of motion, and it is difficult to accurately measure it.

Method used

A dynamic non-invasive cardiac output monitoring system is adopted, which includes a signal acquisition module, a filtering module, a pulse wave feature extraction module, a dynamic signal quality monitoring module and a cardiac output monitoring and evaluation module. Through photovoltaic pulse wave technology and deep learning algorithms, dynamic and continuous monitoring of cardiac output is achieved.

Benefits of technology

It realizes high-precision cardiac output monitoring in resting and exercising states, and can dynamically and continuously monitor the subject's stroke output and cardiac output, which is suitable for long-term home rehabilitation monitoring for patients with heart failure and structural heart disease.

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Abstract

The invention belongs to the technical field of noninvasive hemodynamic monitoring, and provides a dynamic noninvasive cardiac output monitoring system and method. High-quality dynamic pulse wave waveform signals are collected based on a sensor array, motion artifacts in the motion state are corrected, the motion artifacts meet input conditions of a cardiac output calculation model, and dynamic pulse wave feature vectors are calculated; calculating an aorta cross-sectional area estimated value as a correction variable based on the personalized characteristic parameters; and based on a cardiac output model of deep learning training, cardiac output is calculated so as to realize real-time monitoring and evaluation of the dynamic cardiac output of the testee. According to the invention, dynamic, real-time and long-term monitoring of cardiac output parameters can be realized, intermittent correction is not needed, and the system is suitable for household rehabilitation of patients with heart diseases.
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