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Heartbeat and breathing feature monitoring method based on ultra wide band radar sensor

A technology of ultra-wideband radar and radar sensor, which is applied in the direction of instruments, measuring devices, radio wave measurement systems, etc., can solve the problems of low accuracy, modal aliasing, poor anti-interference, etc., and achieve high accuracy and high physical signs Detection effect

Inactive Publication Date: 2018-10-02
UNIV OF ELECTRONICS SCI & TECH OF CHINA
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Problems solved by technology

[0007] The purpose of the present invention is to solve the problems of poor anti-interference, low accuracy and modal aliasing in the existing heartbeat and respiration feature monitoring method based on ultra-wideband radar sensors. feature monitoring method

Method used

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  • Heartbeat and breathing feature monitoring method based on ultra wide band radar sensor
  • Heartbeat and breathing feature monitoring method based on ultra wide band radar sensor
  • Heartbeat and breathing feature monitoring method based on ultra wide band radar sensor

Examples

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Embodiment 1

[0079] Including the following steps:

[0080] Step 1: Detect the breathing signal and heartbeat signal of a single target in various states such as stationary, arm swing, standing still, forward and backward, etc., and use the detected breathing signal and heartbeat signal as the echo signal;

[0081] Step 2: Preprocess the echo signal to remove clutter and noise, and select a range gate to obtain a one-dimensional signal, see figure 1 ; The range gate here is to select the range gate when the signal amplitude is maximum.

[0082] Step 3: Decompose the one-dimensional signal obtained in step 2 with the classical mode decomposition algorithm to obtain the number of modes K and the K specific modes. For details, see figure 2 ; The specific steps of step 3 are: decompose the mode of the one-dimensional signal in step 2, and obtain six eigenmodes and one residual after the classical mode decomposition method processes the one-dimensional signal, so the one-dimensional signal ca...

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Abstract

The invention discloses a heartbeat and breathing feature monitoring method based on an ultra wide band radar sensor and relates to the technical field of heartbeat signal detection. The method comprises following steps of using detected breathing signals and detected heartbeat signals as echo signals; preprocessing the echo signals and selecting a distance door to obtain a one-dimensional signal;using a classic mode decomposition algorithm to carry out modal decomposition on the obtained one-dimensional signal so as to obtain the modal number K and K specific modals; according to the modal number K and the K specific modals, carrying out modal decomposition on the one-dimensional signal in the step 2 through a variation modal decomposition algorithm, and extracting breathing modals and heartbeat modals; and carrying out frequency spectrum conversion on the extracted breathing modals and the heartbeat modals to obtain respective frequency domain information and through the frequency domain information, directly obtaining the breathing times and the heartbeat times of each target in every minute. According to the invention, problems of poor anti-interference ability, low accuracy and modal aliasing in the current method are solved.

Description

technical field [0001] The invention relates to the technical field of heartbeat signal detection, in particular to a method for monitoring heartbeat and respiration characteristics based on an ultra-wideband radar sensor. Background technique [0002] The UWB radio equipment specification issued by the US Federal Communications Commission (FCC) defines an UWB signal, that is, a signal with an absolute bandwidth greater than 500 MHz. There are two main signal forms of ultra-wideband signals: UWB in the form of narrow pulse carrier and UWB in the form of modulated carrier. There are more and more researches on bio-radar in the detection of human body signs. Whether it is in general health management or in the detection of life after a natural disaster, the health of the heartbeat and breathing are extremely important. [0003] There are two types of detection methods for human body signs: contact and non-contact. Contact methods require electrodes or sensors to be in conta...

Claims

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Application Information

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IPC IPC(8): G01S13/02G01S13/88G01S7/41
CPCG01S7/41G01S13/0209G01S13/888
Inventor 梁菁段珍珍张健张洋王田田唐琴
Owner UNIV OF ELECTRONICS SCI & TECH OF CHINA
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