Physiological monitoring system based on BCG signal and PPG signal fusion

Abstract

The invention relates to a physiological monitoring system based on fusion of a BCG signal and a PPG signal, and the system comprises a BCG signal collection system which is used for collecting the BCG signal of a human body; the PPG signal acquisition system is used for acquiring PPG signals of a human body; the upper computer is used for receiving the BCG signals collected by the BCG signal collection system and the PPG signal data collected by the PPG signal collection system, analyzing the two kinds of signal data and fusing analysis results in a nonlinear fitting mode to obtain final physiological parameter information. According to the invention, the monitoring accuracy can be improved.

Description

technical field [0001] The invention relates to the technical field of physiological monitoring, in particular to a physiological monitoring system based on fusion of BCG signals and PPG signals. Background technique [0002] The pumping of blood by the heart during the beating cycle of the heart can cause the corresponding movement of the body, and the movement signal is picked up by a high-sensitivity sensor and traced into a waveform, which is called a ballistocardiogram (BCG). Because the BCG signal records the body movement synchronized with the heartbeat caused by the pumping of blood by the heart, the BCG signal indirectly reflects the power and motion state of the heart. Analysis of BCG signals can obtain related vital signs or physiological parameters, and it is possible to predict, diagnose or track related diseases. [0003] In the past two decades, with the rapid development of technologies such as sensors, electronics, and signal processing and analysis, BCG si...

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Problems solved by technology

[0005] However, the acquisition of BCG signals and PPG signals will be interfered by external factors, such as: motion artifacts, temperature, noise, etc. Although some studies have used different algorithms to eliminate the interference of individual factors and obtained considerable results, but in disease monitoring and In terms of diagnosis, randomized controlled trials with large samples and data support are needed

Moreover, the physiological parameters analyzed by a single BCG signal and PPG signal have a low correlation with the actual physiological parameters, and there is a problem of inaccurate qualitative judgment.

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