Non-contact electrocardiogram monitoring method based on millimeter wave radar

Abstract

The invention provides a non-contact electrocardiogram monitoring method based on a millimeter wave radar. The non-contact electrocardiogram monitoring method comprises the steps of S1, using the millimeter wave radar for transmitting millimeter wave signals to a to-be-measured target and receiving an echo signal; S2, performing signal processing on the received echo signal, and extracting heart mechanical activity data hidden in the echo signal; S3, constructing an end-to-end network architecture for the extracted heart mechanical activity data, and completing cross-domain mapping from the heart mechanical activity to the heart electrical activity; and S4, on the basis of the obtained deep learning network architecture of cross-domain mapping of the heart mechanical activity and the heart electrical activity, inputting heart mechanical activity data extracted at the current moment, outputting an ECG measurement result at the current moment, and finally completing non-contact electrocardiogram monitoring.

Description

technical field [0001] The present disclosure relates to the technical field of intelligent perception, and in particular to a non-contact electrocardiogram monitoring method based on millimeter wave radar. Background technique [0002] Electrocardiogram (ECG) is one of the most important biomedical signals at present, which is used to describe the heart activity and provide basic information for the diagnosis of heart disease. Experimental evidence shows that the incidence and harm of heart disease can be significantly reduced through continuous monitoring and analysis for diagnosis, control and prevention. The current ECG monitoring method is based on electrodes attached to human skin to detect small potential changes in different parts of the body caused by electrical activity generated by myocardial contraction. Although electrode-based electrocardiogram monitoring has been widely used in clinical diagnosis and daily prevention, there are still many limitations in actua...

AI Technical Summary

Problems solved by technology

However, due to the complex reflection of electromagnetic waves on the human body, which is easily disturbed and the mechanical movement caused by the heart activity itself is very weak (usually considered to be around 0.2-0.5 mm), it is often submerged in other body movements with larger amplitudes ( e.g. breathing)

Existing methods mainly focus on the realization of coarse-grained cardiac activity monitoring such as human heart rate estimation, so the performance of the current method is very limited and it is difficult to achieve accurate measurement of cardiac mechanical activity

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