Cardiac condition passive sensing method based on micro-Doppler characteristics

A Doppler radar and status technology, applied in sensors, radio wave measurement systems, radio wave reflection/re-radiation, etc., can solve the problems of large errors in heartbeat status information and insufficient fineness of abnormal heartbeat information, and achieve heartbeat status information fine effect

Pending Publication Date: 2020-04-10
NANJING UNIV OF INFORMATION SCI & TECH
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AI Technical Summary

Problems solved by technology

To a certain extent, it avoids the defect of limited resources of wearable sensors and has good scalability. The passive sensing method does not require the detector to wear the sensor for a long time, which can make the detection process easier and more convenient without affecting normal work and life. , due to the complexity of the cardiac signal, the abnormal cardiac information collected by the traditional passive detection method is not fine enough, and the error of the cardiac condition information reflected by it is relatively large

Method used

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  • Cardiac condition passive sensing method based on micro-Doppler characteristics
  • Cardiac condition passive sensing method based on micro-Doppler characteristics
  • Cardiac condition passive sensing method based on micro-Doppler characteristics

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Embodiment Construction

[0044] The process of the present invention is as figure 1 Shown:

[0045] (1) The micropower Doppler radar radially aligns with the position of the human heart to transmit the signal s(t),

[0046] (2) Receive the radar echo x(t), use the notch band-stop filter placed at the zero Doppler frequency to remove the received radar echo x(t) static background noise n(t), after removing the static background noise The expression of the radar echo is x(t)-n(t), update x(t) is x(t)-n(t); among them, adjust the depth d of the notch band-stop filter notch, and the relative width w And the nature of clutter, so that the average clutter suppression is greater than 40dB, and retain the motion components,

[0047] (3) Then use the eigenmode decomposition algorithm to extract the micro-Doppler characteristic signal I from the radar echo x(t); the steps are as follows figure 2 Shown:

[0048] (31) Obtain the Doppler radar echo signal x(t);

[0049] (32) Initialize the radar echo signal, s...

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Abstract

The invention discloses a cardiac condition passive sensing method based on micro-Doppler characteristics. The method comprises the following steps: (1), transmitting a signal s (t) by using a micro-power Doppler radar; (2), receiving radar echo x (t); (3), extracting a micro-Doppler characteristic signal I from the radar echo x (t); (4), extracting a component I2 carrying apex pulsation motion characteristics from the micro-Doppler characteristic signal I; and (5), extracting characteristics from the component I2 obtained in the step (4), constructing characteristic vectors, and mapping the characteristic vectors to different cardiac abnormality types through a KNN method. According to the method, information capable of reflecting the cardiac condition can be extracted from Doppler radarecho signals based on kinematics of apex pulsation; the acquired cardiac condition information is in detail; and the acquired cardiac condition information is accurate.

Description

technical field [0001] The present invention relates to a passive sensing method for a cardiac state, and more particularly, to a passive sensing method for a cardiac state based on micro-Doppler features. Background technique [0002] At present, cardiovascular disease has become the number one killer that threatens human health. However, the current medical conditions and testing environment limit the early detection of potential heart disease. Patients who suffer from heart attack due to blockage of heart vessels must get through the blockage within an hour. If the artery cannot be properly treated in time, the blocked blood vessel will lead to myocardial necrosis. Therefore, the early detection and prevention of heart disease is an urgent need in today's society. At present, the ways to detect abnormal heartbeat can be mainly divided into two categories: 1. Directly obtain surface electrical signals (P waves, QRS complex waves, ST segments, etc.) through wearable ECG se...

Claims

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Application Information

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IPC IPC(8): A61B5/02G01S7/02G01S7/35G01S13/88
CPCA61B5/02G01S13/88G01S7/02G01S7/354A61B5/72A61B5/7264A61B5/7253
Inventor 庄伟申义贤李露张杰峰周清峰戴栋
Owner NANJING UNIV OF INFORMATION SCI & TECH
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