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Video-image-based method and system for detecting non-contact vital sign

A technology for vital signs and detection methods, applied in medical images, medical imaging, pulse rate/heart rate measurement, etc., can solve problems such as increased error in detection results, limited denoising and anti-noise capabilities, and inability to complete detection, achieving increased Resistance, fast measurement, wide range of effects

Active Publication Date: 2012-06-20
XISHUANGBANNA DADU YUNHAI BIOLOGICAL TECH DEV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Using a single set of observation signals for filtering processing has limited denoising and anti-noise capabilities. When the noise is strong, the error of the detection result will increase, and the detection cannot even be completed.
3) It needs to continuously accumulate 30 seconds of test time, so it can only give the average value of heart rate and respiration within 30 seconds, and cannot reflect the real-time changes of heart rate and respiration

Method used

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  • Video-image-based method and system for detecting non-contact vital sign
  • Video-image-based method and system for detecting non-contact vital sign
  • Video-image-based method and system for detecting non-contact vital sign

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0068] Using the non-contact vital sign detection method based on video images of the present invention, a single person is used as a detection target for detection, and the process is as follows:

[0069] Get the video image of the target to be tested

[0070] Such as image 3 As shown, the video image of the target to be tested is continuously collected by the video image acquisition module 1 at a fixed frame rate.

[0071] In this example, if Figure 4 As shown, the Logitech webcam (model C250) can be used to capture 24-bit RGB true-color images with a frame rate of 15fps and an image resolution of 640×480. In the present invention, the higher the acquisition frame rate and the image resolution, the better, but these two items are also restricted by the execution speed, so they should be analyzed and determined according to specific conditions in practical application. Theoretically, for a heart rate test, a frame rate of 7fps can test a heartbeat of up to 200bpm; for ...

Embodiment 2

[0113] Simultaneous detection with two people as the detection target, the only difference from a single person is:

[0114] The automatic detection module performs automatic upper body contour recognition through edge contour detection, and firstly determines the number of targets to be measured as two by the number of upper body contours.

[0115] For each test target within the range of its upper body contour, determine the chest position as the breathing detection ROI area; determine the heart rate detection ROI area through skin color detection. Then each test target is processed separately, and the processing method is the same as the single-person detection. For the original time series signals of R, G, and B channels of heart rate detection, see Figure 17 , the normalized time series signal of heart rate detection see Figure 18 , the ICA independent component of heart rate detection see Figure 19 , the ICA independent components of heart rate detection after flat...

Embodiment 3

[0118] The animal pig is used as the detection target for detection. Other experimental procedures are similar to Example 1, and will not be repeated. Wherein, the difference is that the pig's heart rate and respiration ROI area can be taken as the pig's abdomen at the same time. The automatic detection of pig belly is realized by edge contour detection. The details are as follows: recognize the pig’s contour through edge contour detection, and perform ellipse fitting on the pig’s body. The center position of the fitted ellipse is the center of the abdomen. Take 40% of the long and short axes of the fitted ellipse to obtain the belly area of ​​the pig. as the ROI area. Subsequent processing is the same as single-person detection. For the original time series signals of R, G, and B channels of heart rate detection, see Figure 23 , the normalized time series signal of heart rate detection see Figure 24 , the ICA independent component of heart rate detection see Figu...

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Abstract

The invention discloses a video-image-based method for detecting a non-contact vital sign. The method comprises the following steps of: acquiring video images continuously according to a fixed frame frequency, detecting a region of interest (ROI) region automatically, separating a vital sign signal from a multichannel signal separated from the ROI region, extracting the frequency of the vital sign signal and converting the frequency into the vital sign to acquire a detection result. The invention also discloses a video-image-based system for detecting the non-contact vital sign. The method and the system have the advantages of quickness, real time, capacity of realizing continuous monitoring, high robustness, low cost, wide application range and the like.

Description

Technical field [0001] The invention involves the family health system, medical monitoring system, and animal health detection system, especially a non -contact life signs and system based on video images to detect the heart rate, breathing and heart rate changes of the human body and / or animalsWaiting for life signs. Background technique [0002] Non -contact life signs (including heart rate, breathing, etc.) detection methods and detection facilities have received widespread attention in the industry due to their convenience, safety, and flexibility.At present, the existing non -contact heart rate and respiratory detection technology mainly include the following Doppler radar detection and sequence image collection type. [0003] 1. Doppler radar detection [0004] The Doppler radar non -contact measurement method detects the micro -motion of human body surface caused by heartbeat and breathing, and then obtains human heart rate and breathing information.The Doppler radar detec...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): A61B5/024A61B5/08A61B5/0205
CPCA61B5/08A61B5/0816G06F19/34A61B5/0205A61B5/024A61B2576/00G16H30/40
Inventor 赵芳钱卓俞雅萍
Owner XISHUANGBANNA DADU YUNHAI BIOLOGICAL TECH DEV
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