Heart rate detection method and device based on image analysis

An image analysis and detection method technology, applied in the field of biomedicine, can solve high-demand problems, achieve high accuracy, eliminate noise influence, and low environmental requirements

Active Publication Date: 2019-07-05
UNIV OF SCI & TECH BEIJING
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0005] The technical problem to be solved by the present invention is to provide a heart rate detection method and device based on image analysis, so as to

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  • Heart rate detection method and device based on image analysis
  • Heart rate detection method and device based on image analysis

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Embodiment 1

[0061] Such as figure 1 As shown, the heart rate detection method based on image analysis provided by the embodiment of the present invention includes:

[0062] S101, acquiring the user's face video, tracking the facial feature points in the face video, and performing tilt correction on the rigid movement of the head in combination with head rotation calibration;

[0063] S102, selecting the facial region of interest according to the corrected facial feature points, and determining the light signal of the color channel of the facial region of interest;

[0064] S103, according to the determined light signal of the color channel of the facial region of interest, construct a light signal model based on a multi-layer skin model, and extract a green-red channel differential signal according to the built light signal model;

[0065] S104. Transform the extracted green-red channel differential signal into the frequency domain, and extract the frequency corresponding to the maximum ...

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Abstract

The invention provides a heart rate detection method and device based on image analysis, by which the accuracy of a heart rate measurement result is improved. The method comprises the following stepsof acquiring a face video of a user, tracking the facial feature points in the face video, and performing the tilt correction on head rigid motion by combining head rotation calibration; selecting a facial region of interest according to the corrected facial feature points, and determining an optical signal of a color channel of the facial region of interest; constructing an optical signal model based on a multilayer skin model according to the determined optical signal of the color channel of the region of interest of the face, and extracting a green-red channel differential signal accordingto the constructed optical signal model; and converting the extracted green-red channel differential signal into a frequency domain, and extracting the frequency corresponding to the maximum amplitudevalue as the current heart rate of the user. The invention relates to the field of biomedicine.

Description

technical field [0001] The invention relates to the field of biomedicine, in particular to a heart rate detection method and device based on image analysis. Background technique [0002] The number of times a human heart beats per minute is called heart rate, which is the most direct indicator of human heart health. Heart rate is a very important and easy-to-measure vital sign of the human body. A higher resting heart rate is usually accompanied by a higher incidence and mortality of heart disease, and a higher mortality rate of acute myocardial infarction. Continuous heart rate measurement and monitoring plays an important role in the control and prevention of cardiovascular and cerebrovascular diseases. [0003] Heart rate measurement is divided into two methods: contact measurement and non-contact measurement from the perspective of whether it is in contact with the subject. Contact measurements include ECG monitors, finger clip pulse monitors, and wearable heart rate m...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06K9/32G06T7/246G06T7/90A61B5/024A61B5/00
CPCG06T7/246G06T7/90A61B5/02416A61B5/7203A61B5/7225G06T2207/10016G06T2207/30201G06T2207/30048G06T2207/20056G06V40/168G06V40/172G06V10/243G06V10/25G06F2218/02G06F2218/08G06F2218/12
Inventor 支瑞聪丁梓硕陈健融李志昌
Owner UNIV OF SCI & TECH BEIJING
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