Static human body heartbeat and respiration signal extraction method based on FMCW radar

Abstract

The present invention provides a static human body heartbeat and respiration signal extraction method based on an FMCW radar. Firstly, obtaining three parameter information of distance, Doppler and angles of a human body target according to analysis and calculation of human body target detection data, then constructing three parameter images of a distance-time image, a distance-Doppler image and adistance-angle image, then using the images to determine the human body target to be detected through a target individual existing in a 2D-OS-CFAR detection environment and at the same time suppresshuman body target signal's interference to the human body target signals to be detected, and finally conducting heartbeat and respiratory signal extraction on the detected human body target to be detected based on an extended DACM algorithm of derivation operation. The static human body heartbeat and respiration signal simple extraction method based on the FMCW radar is innovatively provided, realizes non-contact type detection of the human body heartbeat and respiratory signals, avoids constraint and discomfort of patients caused by traditional contact detection devices, at the same time caneffectively inhibit interference and separates the human body target signals to be detected.

Description

technical field [0001] The invention relates to the field of vital sign signal detection, in particular to a static human heartbeat and breathing signal extraction method based on FMCW radar. Background technique [0002] Respiratory and heartbeat signals are an important indicator in modern medical testing. The monitoring of characteristic parameters of heartbeat and respiration signals provides doctors with reliable basis for diagnosis and treatment. The traditional detection method is contact detection technology, which is currently the most used technology in heartbeat and respiratory signal monitoring equipment. It mainly uses wearable sensors or sticky electrodes to directly contact the patient's body to monitor heartbeat and respiratory signals. Although the heartbeat and respiration signals monitored by this detection method have the advantages of high quality and low noise, this method limits the patient's behavior and cannot accurately reflect the changes in the te...

AI Technical Summary

Problems solved by technology

However, due to the particularity of the vital signs signal, the breathing and heartbeat signals are extremely weak and are easily covered by radar noise and clutter; The manufacturing process and signal processing are relatively complex, resulting in fewer applications of FMCW radar in the field of vital sign heartbeat and respiratory signal detection

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