Non-contact radial artery waveform extraction method

A waveform extraction, non-contact technology, applied in the field of computer vision, can solve the problems of cumbersome use process, discomfort and inconvenience of the subject, and achieve the effect of improving comfort, improving signal-to-noise ratio and reducing cost

Active Publication Date: 2019-05-24
HEFEI UNIV OF TECH
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AI Technical Summary

Problems solved by technology

However, the contact pulse wave extraction method needs to be operated under the guidance of certain professionals, and the use process is relatively cumbersome.
Among them, the pulse wave acquisition method based on the pressure sensor requires close contact with the skin surface of the measured person, which is extremely inconvenient for patients with some s

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  • Non-contact radial artery waveform extraction method
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  • Non-contact radial artery waveform extraction method

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Embodiment Construction

[0047] refer to figure 1 , a non-contact radial artery waveform extraction method, the implementation steps are as follows:

[0048] (1) Video collection: place an ordinary camera device at a position 0.3m away from the wrist of the person, and connect the camera to the computer via USB. The operator uses MATLAB software to control the camera to shoot video, ensuring that the wrist of the hand The radial artery is within the frame of the recorded video; all videos are collected with a resolution of 640x480, a frame rate of 30 frames per second and RGB color space, the length of the video is 30 seconds, the video encoding is MJPEG, and the video format is MP4;

[0049] (2) Video preprocessing: read the collected wrist video, and convert the video frame image into a matrix. The original video pixels are stored in an 8-bit integer in the RGB color space, and the value range is [0,255]. High operational precision, normalized processing, the value range of pixels is mapped to the ...

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Abstract

The invention discloses a non-contact radial artery waveform extraction method and mainly solves problems of robustness and accuracy in non-contact wrist radial artery pulse wave extraction in real scenes. An implementation process includes: (1) controlling a camera facing the human wrist to acquire a 30s video through a computer; (2) subjecting the acquired video to Laplacian pyramid to realize space decomposition, and subjecting sub-bands in pyramid decomposition to IIR filtering to complete time domain filtering, wherein amplification of radial artery pulse signals in the video is realizedin the process; (3) subjecting the amplified video to blocking processing, analyzing power spectra of all blocks, and selecting an area with highest signal-to-noise ratio as an interested area; (4) selecting the interested area as an input signal, dividing the area into three signal sources, and performing independent component analysis to finally obtain radial artery waveforms. By radial artery pulse characteristics, the wrist radial artery pulse signals are amplified and extracted through video motion, then accurate selection of the interested area is performed, and environmental noise interferences are reduced; by independent component analysis, pulse waveform accuracy is further improved.

Description

technical field [0001] The invention belongs to the field of computer vision, in particular to a non-contact radial artery waveform extraction method. Background technique [0002] In recent years, with the in-depth exploration of computer vision technology, more and more theoretical knowledge of computer vision has been applied to the medical field, which has promoted the development of medicine to a certain extent. Computer vision uses tools such as computers and cameras as a medium to model and study specific problems in the medical field through related technologies, and explore solutions to problems from the perspective of computer vision, providing a unique way for the development of medicine. [0003] The pulse wave is the trajectory of the arterial fluctuations accompanied by the periodic contraction of the heart, which integrates various information carried by the heart pumping activity and the pressure wave along the arterial tree. It is one of the frontier topics...

Claims

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Application Information

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IPC IPC(8): A61B5/02A61B5/00
Inventor 杨学志李江山吴秀方帅金兢
Owner HEFEI UNIV OF TECH
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