A life signal detection method and system based on FMCW millimeter wave radar

A technology of millimeter-wave radar and life signal, which is applied in signal pattern recognition, character and pattern recognition, instruments, etc. It can solve the problems of non-adaptability and inability to effectively solve heartbeat signal interference, and achieve self-adaptive separation Effect

Active Publication Date: 2019-03-26
GUANGDONG UNIV OF TECH
View PDF9 Cites 13 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] Traditional radar life signal separation and extraction methods include band-pass filtering and wavelet transform, etc. Since the frequency bands of the breathing and heartbeat signals are close, the use of band-pass filters to separate breathing and heartbeat signals cannot effectively solve the problem of respiratory harmonics affecting the heartbeat signal. The wavelet transform can extract the breathing and heartbeat signals from the vital signals by selecting the appropriate wavelet basis function, but it is difficult to select the appropriate wavelet basis function, and after the basis function is determined, it cannot be done with different signals. change, not adaptive

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • A life signal detection method and system based on FMCW millimeter wave radar
  • A life signal detection method and system based on FMCW millimeter wave radar
  • A life signal detection method and system based on FMCW millimeter wave radar

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0049] Such as figure 2 The present invention shown comprises preprocessing module, signal extraction module and signal separation module, and its simple steps are as follows figure 1 Said:

[0050] S1: Process the radar intermediate frequency signal;

[0051] S11: Determine the position of the target from the FMCW echo signal, and extract its phase signal to obtain the distance information and phase difference signal of the target;

[0052] S12: According to the target distance information obtained by the radar, remove the interference of some objects around the target, and perform FFT on the radar intermediate frequency signal to determine the position of the target and extract the radar life signal of the target. ;

[0053]S13: Perform low-pass filtering on the radar life signal to remove high-frequency noise to obtain the life signal w(t), wherein the cutoff frequency of the low-pass filter is 3 Hz.

[0054] S2: The vital signal processed by the preprocessing module i...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention discloses a life signal detection method and a life signal detection system of a base FMCW millimeter wave radar, which is used for realizing the detection of a living body. By inputtingthe pre-processed radar life signal into the adaptive filter, the delayed radar life signal is used as the reference signal, and the delay can be adjusted according to the change of the input signalin real time, thus realizing the real-time separation of the respiration and heartbeat signals. The method proposed by the invention can real-time and adaptively separate the respiration and the heartbeat signals.

Description

technical field [0001] The present invention relates to the field of radar signal detection, and more specifically, to a method and system for detecting life signals based on FMCW millimeter wave radar. Background technique [0002] Respiration, heartbeat, body temperature, and blood pressure are commonly used indicators for judging whether the life activities of the human body are normal or not, and respiration and heartbeat are particularly important two parameters. These two important cardiopulmonary activity parameters can determine whether there is a living body, and the basic state of the living body can be obtained according to the changes of these two parameters. However, most of the existing breathing and heartbeat detection methods are contact detection methods. In many cases, due to the limitations of various conditions and the consideration of other factors, it is necessary to measure the breathing and heartbeat remotely. The life signal detection technology bas...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
IPC IPC(8): G06K9/00
CPCG06F2218/02G06F2218/08G06F2218/12
Inventor 刘震宇陈惠明邓雄峰陆蔚廖炫达
Owner GUANGDONG UNIV OF TECH
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products