Non-contact breathing detection method based on 24GHZ Doppler sensor

A Doppler sensor, breath detection technology, applied in the direction of sensor, evaluation of respiratory organs, diagnostic recording/measurement, etc., can solve the problems of low accuracy of measurement data, weak anti-interference ability, low sensitivity, etc. The effect of strong anti-interference ability and high sensitivity

Inactive Publication Date: 2019-03-19
WENZHOU UNIVERSITY
View PDF2 Cites 10 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0007] However, in practical applications, these detection methods have defects such as low sensitivity and weak anti-interference ability, resulting in greatly reduced accuracy of measurement data

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
  • Non-contact breathing detection method based on 24GHZ Doppler sensor
  • Non-contact breathing detection method based on 24GHZ Doppler sensor
  • Non-contact breathing detection method based on 24GHZ Doppler sensor

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0064] The breath detection method includes the following steps:

[0065] Step S1: After the respiration detection module receives the command from the PC to start collecting respiration information through the USB-to-serial communication mode, it enters into step S2;

[0066] Step S2: The breath detection module periodically collects the I and Q echo signals filtered and amplified by the 24GHZ Doppler radar every 50us through the AD converter.

[0067] After collecting the data of 10 sampling cycles, encapsulate the data collected in 10 cycles into 1 frame, and then send all the collected signals to the PC through the USB virtual serial port. The respiration detection module keeps repeating step S2 until a command to stop respiration information collection is received through the USB virtual serial port.

[0068] image 3 , Figure 4 A schematic diagram of the I channel and Q channel signals in the radar data collected in step S2 for 8 seconds is given. Figure 5 It is a ...

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 provides a non-contact breathing detection method based on a 24GHZ Doppler sensor. The method comprises the following steps that firstly, a command for collecting respiratory informationis issued by a PC end, and a respiratory detection module receives the command. Secondly, the respiratory detection module periodically samples two echo signals of I and Q, and the collected echo signals are encapsulated into frames and sent to a PC machine through a USB virtual serial port. The PC machine saves the received echo signals and performs processing correction to obtain corrected signals. Thoracic displacement is then extracted by arctangent demodulation. Finally, the extracted thoracic displacement is subjected to fast Fourier transform, and a frequency corresponding to the pointwith the largest amplitude is found in the range of 0 to 1HZ, which is a respiratory frequency. The method utilizes the Doppler sensor to detect respiratory parameters without contacting with a humanbody, and has high accuracy and good sensitivity.

Description

technical field [0001] The invention relates to the technical field of breath detection, in particular to a breath detection method based on 24GHZ Doppler radar non-contact sensing. Background technique [0002] Breathing is an important vital sign and an important indicator reflecting basic health status, exercise intensity, and sleep quality. With the rapid development of IoT technology in recent years, some devices and methods have been proposed for respiratory monitoring. These devices and methods can be divided into two categories: contact respiration testing and non-contact respiration testing, depending on whether it is necessary to contact the human body. [0003] The contact-type breathing detection method requires the sensor to be in close contact with the human body, such as clipping the detection head on the finger, or detecting breathing by means of ECG monitoring. [0004] At present, some non-contact sleep monitoring methods have also been proposed on the ma...

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
Patent Type & Authority Applications(China)
IPC IPC(8): A61B5/08A61B5/113
CPCA61B5/0816A61B5/1135A61B5/7225A61B5/7235A61B5/7257
Inventor 徐玉高东东
Owner WENZHOU UNIVERSITY
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