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A non-contact heart rate detection method based on signal fitting

A non-contact, detection method technology, applied in the field of biological image information processing, can solve the problem that the complete distortion of the pulse wave cannot be effectively solved, and achieve the effect of high fidelity and pertinence, high robustness and stability

Active Publication Date: 2021-05-28
HEFEI UNIV OF TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Although these methods can solve the incomplete distortion of the pulse wave (there is still a pulse signal), they still cannot effectively solve the complete distortion of the pulse wave (there is no pulse signal) caused by factors such as head twisting, global expression changes, and severe lighting changes. Signal)

Method used

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  • A non-contact heart rate detection method based on signal fitting
  • A non-contact heart rate detection method based on signal fitting
  • A non-contact heart rate detection method based on signal fitting

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Experimental program
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Effect test

Embodiment 1

[0038] combine figure 1 , a kind of non-contact heart rate detection method based on signal fitting of the present invention, comprises the steps:

[0039] Step 1, collect face video, construct initial pulse wave I and pulse wave dictionary S;

[0040] In this step, the face video is collected by the video acquisition device, and the video image of N frames is obtained, and the face detector Viola-Jones of OPENCV is used to identify the face area in the video image, and the fitting method of the discriminant response graph ( DRMF) detects the feature points of the human face, and the general feature points are 66, track the motion track of the feature points by the Kanede-Lucas-Tomasi (KLT) algorithm, and calculate the pixels of the green channel of the human face area in each frame of video image Average value, get facial pulse wave I,

[0041] I=[i 1 ,i 2 ,...,i N ],

[0042] Among them, i N Indicates the pixel mean value of the Nth frame image.

[0043] In this step...

Embodiment 2

[0060] combine Figure 2-Figure 7 , a non-contact heart rate detection method based on signal fitting of the present invention,

[0061] 1. Take a 20-second video with an ordinary network camera and get 600 frames of video images. The camera model is Logitech HD 1080P, the frame rate is 30fps, and the resolution is 648*480. When shooting, the camera lens and the face are on the same horizontal line, and the distance between the two is about 50 cm. During the shooting, the tester was in a state of natural relaxation (that is, he could do facial movements, turn his head, change expressions, etc.). The shooting environment is an indoor fluorescent lighting environment.

[0062] 2. While shooting the video, use the three-lead / single-channel Heal Force ECG to detect the synchronous ECG as the real value. The lead mode used by the electrode pads of the electrocardiograph is the chest lead. The data collected by the electrocardiograph were processed by the ECGDM workstation.

...

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Abstract

The invention discloses a non-contact heart rate detection method based on signal fitting. This method first uses a network camera to record a face video, and performs motion tracking and color feature extraction on the face to construct an initial pulse wave; then designs a mask according to the local standard deviation of the original pulse wave to filter out the distortion of the initial pulse wave part; then design a pulse wave dictionary that contains sinusoidal bases of various frequencies and phases, and select a group of sinusoidal bases that are close to the original pulse wave from the dictionary, and add these sinusoidal bases according to the weight to obtain the fitted pulse wave; Finally, the heart rate is calculated by performing Fourier transformation on the fitted pulse wave. The invention can effectively filter out the signal distortion caused by external disturbances such as head twisting and expression changes, and realize high-precision heart rate detection in the actual environment.

Description

technical field [0001] The invention belongs to the technical field of biological image information processing, in particular to an anti-interference non-contact heart rate detection method. Background technique [0002] Heart rate is an important physiological parameter, which can reflect the cardiovascular function and mental state of the human body. Traditional heart rate detection technology needs to attach pressure sensor or optical sensor. However, the contact between the sensor and the skin may cause discomfort to the tester and even bring hygiene hazards, so it is difficult to popularize to the public. At present, a non-contact heart rate detection method based on remote optical plethysmography has become a research hotspot in the field of computer vision. This method only needs to collect a video of the tester with an ordinary camera to detect the current heart rate of the tester, which has the advantages of high efficiency, sanitation, convenience, and wide appli...

Claims

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Application Information

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IPC IPC(8): A61B5/024G06K9/00
CPCA61B5/024A61B5/7203G06V40/16G06V40/10G06V40/15
Inventor 杨学志刘雪南金兢李江山
Owner HEFEI UNIV OF TECH
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