A static human heartbeat and respiration signal extraction method based on fmcw radar

Abstract

The invention proposes a static human heartbeat and breathing signal extraction method based on FMCW radar. First, according to the analysis and calculation of the actual human target detection data, the three parameter information of the distance, Doppler and angle of the human target are obtained. Next, a three-parameter image of distance-time map, distance-Doppler map and distance-angle map is constructed. Then use the image to detect the target individuals existing in the environment through 2D-OS-CFAR, determine the human target to be detected, and suppress the interference of the non-tested human target signal to the tested human target signal. Finally, extract the heartbeat and respiration signals of the detected human target based on the extended DACM algorithm of derivation operation. The present invention innovatively proposes a simple method for extracting static human heartbeat and breathing signals based on FMCW radar, which realizes non-contact detection of human heartbeat and breathing signals and avoids the constraints and discomfort brought by traditional contact detection equipment to patients; at the same time, the method Interference can be effectively suppressed, and human target signals to be detected can be separated.

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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