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Real-time heart rate detection method based on double cameras

A detection method and dual-camera technology, which can be used in the measurement of pulse rate/heart rate, diagnostic recording/measurement, medical science, etc., can solve the problem of increasing the difficulty of extracting micro-signals of facial parameters, ambient light interference and noise, and image data inconsistencies. Stability and other issues, to achieve the effect of increasing data stability, improving accuracy and stability, reducing signal distortion and jitter

Inactive Publication Date: 2019-10-22
EAST CHINA NORMAL UNIVERSITY
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Problems solved by technology

[0006] At present, the interference and noise of ambient light commonly exist in the heart rate detection method based on video, which leads to the instability of image data, thus increasing the difficulty of extracting the small signal of facial parameters.

Method used

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  • Real-time heart rate detection method based on double cameras
  • Real-time heart rate detection method based on double cameras
  • Real-time heart rate detection method based on double cameras

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Embodiment

[0059] refer to Figure 1-7 , this embodiment includes the following steps:

[0060] S101: Turn on the main camera and the reference camera, and alternately shoot the main video and the reference video including the human face for 20 seconds at the same frame rate. Take a 30-year-old healthy woman as an example for illustration.

[0061] The steps are specifically:

[0062] Create the main camera object and reference camera object, set the same frame rate fs=20Hz;

[0063] set frame counter frame_counter = 0;

[0064] Turn on the reference camera first, then turn on the main camera after Δt=0.025s, and shoot videos containing human faces at a frame rate of 20Hz for 20s, record the current frame of the reference camera and the current frame of the main camera as Frame_ref(i) and Frame( i), frame_counter=K=400.

[0065] S102: Create two face detectors to obtain the ROI of the main camera and the ROI of the reference camera respectively, extract the U channel data based on t...

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Abstract

The invention discloses a real-time heart rate detection method based on double cameras. The method comprises the following steps of opening the main camera and the reference camera, and alternately shooting a main video and a reference video which contain the images of human faces at the same frame rate; establishing two face detectors for acquiring an interested area of the main camera and an interested area of the reference camera respectively; capturing a background area of the main camera and a background area of the reference camera; calculating the characteristic values of each frame ofthe interested areas and background areas according to noise information extracted from the interested area and background area of the reference camera to obtain a one-dimensional characteristic sequence on a time axis; filtering the one-dimensional characteristic sequence through a low-pass filter to obtain heart rate signals; calculating a heart rate value through a peak value counting method;acquiring a data updating signal sequence in real time and repeating the steps above to calculate a real-time heart rate value. The method reduces signal distortion caused by ambient light interference and greatly improves accuracy and stability in non-contact heart rate detection.

Description

technical field [0001] The invention relates to the technical field of digital image processing, in particular to a real-time heart rate detection method based on dual cameras. Background technique [0002] According to the statistics of the World Health Organization, the mortality rate of cardiovascular disease ranks first, significantly higher than that of tumors and other diseases. However, many people often have insufficient understanding of heart disease, resulting in missing the best time to seek medical advice. [0003] Research shows that most early heart attacks and strokes are preventable. In addition to ensuring good living habits, the most important thing is early detection and early treatment. Palpitation, chest tightness, chest pain, dizziness or fainting, these seemingly insignificant symptoms, are all signals of cardiovascular and cerebrovascular diseases, and most people miss the best time for treatment because of carelessness. [0004] The most common in...

Claims

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Application Information

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IPC IPC(8): A61B5/024A61B5/00
CPCA61B5/024A61B5/7203A61B5/725A61B5/748A61B2503/22
Inventor 倪瑶厉阳晨周梅
Owner EAST CHINA NORMAL UNIVERSITY
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