Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Method for extracting heartbeat signal based on radar echo strong noise background and system for extracting heartbeat signal based on radar echo strong noise background

A heartbeat signal, radar echo technology, applied in the measurement of pulse/heart rate, medical science, sensors, etc., can solve problems such as hindering the separation of heartbeat signals, and achieve accurate real-time respiratory rate measurement, strong real-time, and high accuracy. Effect

Inactive Publication Date: 2019-09-03
湖南省顺鸿智能科技有限公司
View PDF2 Cites 19 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

In addition, the radar echo signal also contains some other clutter signals, which also hinders the separation of the heartbeat signal, so how to extract the heartbeat signal in the background of strong noise is particularly necessary

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
  • Method for extracting heartbeat signal based on radar echo strong noise background and system for extracting heartbeat signal based on radar echo strong noise background
  • Method for extracting heartbeat signal based on radar echo strong noise background and system for extracting heartbeat signal based on radar echo strong noise background
  • Method for extracting heartbeat signal based on radar echo strong noise background and system for extracting heartbeat signal based on radar echo strong noise background

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0052] It should be noted that, in the case of no conflict, the embodiments of the present invention and the features in the embodiments can be combined with each other. The present invention will be described in detail below with reference to the accompanying drawings and examples.

[0053] like figure 1 As shown, the present invention also discloses a method for extracting heartbeat signals based on radar echo strong noise background, comprising the following steps:

[0054] S100, the radar echo is transmitted to the data preprocessing end in the form of data frames;

[0055] S200, preprocessing the original sequence of radar echoes, filtering the echoes of stationary targets, and obtaining the echo signals of the range units where the human targets are located;

[0056] S300, judging the random movement of the human body based on the acceleration, so as to reduce the error of the parameter estimation of the later sign signal;

[0057] S400, for separation of vital signs ...

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 method for extracting a heartbeat signal based on radar echo strong noise background. The method includes the following steps that: S100: the radar echo is transmitted to a data preprocessing end in the form of a data frame; S200, an original sequence of the radar echo is preprocessed, the echo of a stationary target is filtered out, and an echo signal of a distance unitof a human target is obtained; S300, based on the acceleration, the random motion of the human body is determined, which is used for reducing the error of the estimation of the sign signal parametersat a later period; S400, signal separation of signs can be separated, and an adaptive wavelet scale selection algorithm is employed for realizing effective separation of respiratory signals and heartbeat signals of vital signs; and S500, time-domain peak finding and downsampling processing are carried out on a respiratory signal and a heartbeat signal, and finally the respiratory frequency and theheartbeat frequency can be obtained. The invention also discloses an extraction system for the heartbeat signals based on the radar echo strong noise background. The system fully eliminates noise interference, recognizes useful heartbeat and respiratory signals, and has the advantages of high accuracy and strong real-time performance.

Description

technical field [0001] The invention belongs to the technical field of radar signal processing, in particular to a method and system for extracting a heartbeat signal based on the background of strong radar echo noise. Background technique [0002] As an emerging vital sign signal detection method, microwave bioradar can detect vital sign signals such as human cardiopulmonary activity, such as breathing, heartbeat and related derivative indicators. Compared with traditional ECG, pulse, etc., it is not only non-contact, but also has good penetrability, and can penetrate obstacles such as clothes and bedding for detection. These advantages make microwave bioradar technology widely used in medical diagnosis, health Fields such as guardianship have application potential. [0003] When the radar emits electromagnetic waves to detect human targets, due to the back and forth movement of the human chest, the precise distance change value can be measured according to the difference ...

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): A61B5/024
CPCA61B5/024A61B5/7203A61B5/7207
Inventor 傅其祥夏利锋王绍丽吴茜张吉楠吴文韬黄康
Owner 湖南省顺鸿智能科技有限公司
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products