Vital sign detection method and device

Abstract

The invention provides a vital sign detection method and device, relates to the technical field of radar detection, and is used for detecting vital signs of a plurality of target human bodies at the same time. The method comprises the following steps: emitting electromagnetic waves to a target space where at least one target human body is located, and receiving echo signals; extracting vital sign data corresponding to each target human body from the echo signals; for each target human body, variational modal decomposition is carried out on the vital sign data of the target human body to obtain N modal components, and N is an integer greater than 1; k modal components corresponding to the target vital signs of the target human body are recognized from the N modal components, and K is an integer larger than 1 and smaller than or equal to N; and determining parameters related to the target vital signs of the target human body according to the K modal components corresponding to the target vital signs of the target human body.

Description

technical field [0001] The present application relates to the technical field of radar detection, in particular to a vital sign detection method and device. Background technique [0002] At present, there are two methods for detecting vital signs of the human body: contact and non-contact. Among them, the contact detection method requires electrodes or sensors to be in contact with the human body to collect signals, which has certain application limitations, such as when the skin is damaged or other conditions that do not allow contact measurement. Non-contact detection methods include laser, infrared, radar signals, etc., which can realize non-contact detection through electromagnetic waves. Among them, based on radar signal is the most widely used one. [0003] In the prior art, there are mainly two types of non-contact detection algorithms based on radar signals: one is a signal processing algorithm based on Fourier transform, which uses a series of filtering methods to...

AI Technical Summary

Problems solved by technology

[0005] 1. The signal processing algorithm based on Fourier transform has high requirements on the purity of the original signal. When there are many clutter and noise, it is difficult to extract the required signal features.

Empirical mode decomposition algorithm has disadvantages such as endpoint effect and mode mixing

[0006] 2. The existing non-contact detection based on radar signals is mostly one-to-one detection. If there are multiple human targets in the detection scene, it is difficult to distinguish and identify each human target and cannot accurately detect each human target.

[0007] 3. When there are multiple human targets in the detection scene, each human target interacts with each other, which will produce intermodulation components that cannot be filtered out by the band-pass filter, resulting in inaccurate detection results of human vital signs

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