Non-contact respiratory rate detection method based on depth image

A technology of depth image and respiratory rate, applied in image enhancement, image analysis, image data processing and other directions, can solve the problem of low data accuracy, achieve the effect of high accuracy, avoid equipment influence, and easy to carry equipment

Active Publication Date: 2021-11-09
SICHUAN UNIV
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Problems solved by technology

[0004] The purpose of the present invention is to overcome the disadvantages of low accuracy of the collected data due to the influence of hollow noise and close-range interference objects in the large-scale application of respiratory frequency detection in the prior art, and to provide a depth image-based non-invasive The contact breathing frequency detectio

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  • Non-contact respiratory rate detection method based on depth image
  • Non-contact respiratory rate detection method based on depth image
  • Non-contact respiratory rate detection method based on depth image

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Embodiment

[0095] Such as Figure 1~5 As shown, the non-contact respiratory frequency detection method based on the depth image includes the following steps:

[0096] S1: Collect the original depth image, obtain the location of the person and collect the depth information;

[0097] S2: Using the maximum distance limitation method and the maximum outer contour extraction algorithm to eliminate the influence of hole noise and close-range interference objects in the original depth image, create a human body mask image and obtain a human body depth image;

[0098] S2.1: Before collecting the human body depth image, collect the background depth image of the overall background when the human body is not in the mirror;

[0099] S2.2: Calculate the maximum distance value of the current background image when the human body is not in the mirror; calculate the average depth value in the 3*3 neighborhood of the center point of the background depth image in step S2.1, and subtract 100mm from the dep...

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Abstract

The invention discloses a non-contact respiratory rate detection method based on a depth image. The method comprises the following steps: acquiring an original depth image, acquiring a figure position and acquiring depth information; by utilizing a maximum distance limiting method and a maximum outer contour extraction algorithm, respectively eliminating influences of void noise and close-range interferents in the original depth image, creating a human body mask image and obtaining a human body depth image; positioning a breathing area by utilizing the correlation between a human chest area and human skeleton joint points; extracting respiratory signal data contained in the depth image of the thoracic cavity region by using a principal component analysis algorithm; and obtaining the human respiratory rate through a peak value detection method. The influence of void noise and interference objects is eliminated when the human body depth image is obtained, so that the human body breathing frequency with accurate data is obtained, the equipment used in the method is convenient to carry, and the price can reach the wide application level.

Description

technical field [0001] The invention relates to the field of respiratory frequency monitoring, in particular to a non-contact respiratory frequency detection method based on a depth image. Background technique [0002] With the rapid development of modern industrial society and the improvement of people's living standards, the degree of environmental pollution has gradually increased, and people are paying more and more attention to their own health. Breathing is the most basic and important vital sign signal of the human body. The rhythm, intensity and frequency information contained in the breathing physiological signal can effectively reflect the lesions of the respiratory system organs, heart and brain system organs and other parts. As an important parameter of respiratory physiological signals, respiratory frequency is an important physiological indicator for the diagnosis of various chronic diseases such as pneumonia, asthma, and cardiac arrest. Through the detection ...

Claims

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Application Information

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IPC IPC(8): G06T7/00G06T7/13G06T5/00G06T5/30G06K9/62
CPCG06T7/0012G06T7/13G06T5/002G06T5/30G06T2207/10028G06T2207/30196G06F18/2135
Inventor 杨晓梅黄旭龙梅宇博胡循勇李昊怡
Owner SICHUAN UNIV
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