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Remote sudden cardiac death early warning method based on non-contact

A non-contact, cardiac technology, applied in the measurement of pulse rate/heart rate, medical science, diagnostic signal processing, etc., can solve problems such as difficult determination of model order, not very smooth spectral lines, complex modeling process, etc.

Pending Publication Date: 2021-03-16
南京云思创智信息科技有限公司
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The main disadvantage is: the spectral line is not very smooth
Its main disadvantages are: the modeling process is complicated, the order of the model is not easy to determine, and the data is required to be a stationary sequence

Method used

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  • Remote sudden cardiac death early warning method based on non-contact
  • Remote sudden cardiac death early warning method based on non-contact
  • Remote sudden cardiac death early warning method based on non-contact

Examples

Experimental program
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Embodiment Construction

[0062] The present invention will be described in detail below in conjunction with the accompanying drawings.

[0063] The present invention provides a remote sudden cardiac death early warning method based on non-contact, including the following process:

[0064] 1) Image acquisition

[0065] The video used was filmed indoors, illuminated by sunlight shining through a window. Participants sat about 40 to 50 centimeters in front of a laptop with a built-in camera, sat quietly, breathed naturally, and took videos facing the camera. While shooting the video, the pulse of the participant is measured with a physical measuring instrument, which is used to compare the accuracy difference with the final test result. The captured videos are captured in 24-bit RGB true color, at a frame rate of 15 frames per second, and at a pixel resolution of 1920×1080.

[0066] 2) Face detection and ROI acquisition

[0067] Use deep neural network to detect face area as ROI (Region of Interest)....

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Abstract

The invention discloses a remote sudden cardiac death early warning method based on non-contact. The method comprises the following steps: S1, acquiring an image of a tester; S2, extracting RGB channel data based on the image information collected in the S1; S3, based on the RGB channel data obtained in the S2, performing independent component analysis and one-dimensional filtering processing in sequence, and then performing fast discrete Fourier transform to obtain heart rate information; S4, on the basis of the heart rate information obtained in the S3, performing conversion to obtain 5-minute HRV information, and performing calculation to obtain 5-minute SDNN information; S5, constructing a clustering analysis system of SDNN data based on the 5-minute SDNN information obtained in the S4; and S6, based on the minimum value and the maximum value of a classifier in an SDNN clustering analysis system in the S5, obtaining HRV sudden cardiac death probability and an early warning mark.

Description

technical field [0001] The invention relates to the technical field of health monitoring, in particular to a remote sudden cardiac death early warning method based on non-contact. Background technique [0002] At present, sudden cardiac death is mainly predicted by the HRV (Heart Rate Variability, Chinese heart rate variability) index, which has important medical significance. In addition to the beating caused by the rhythmic discharge of the heart itself, it is also regulated by the autonomic nervous system. In the past two decades, many literatures have shown that the regulation of the autonomic nervous system has a significant relationship with cardiovascular disease-related mortality, such as cardiogenic death, hypertension, hemorrhagic shock, and septic shock. HRV signal heart rate variability analysis has also been found to be an indicator for predicting mortality after myocardial infarction and a prediction for patients with end-stage liver cancer. HRV signals conta...

Claims

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Application Information

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IPC IPC(8): A61B5/024
CPCA61B5/02405A61B5/746A61B5/0077A61B5/0082A61B5/72A61B5/7257A61B5/7267
Inventor 凌志辉
Owner 南京云思创智信息科技有限公司
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