Heart rate detection method based on multi-scale video

A detection method and multi-scale technology, applied in pulse rate/heart rate measurement, diagnostic recording/measurement, image data processing, etc., can solve problems such as limited heart rate signal features, and achieve the effect of improving heart rate detection accuracy

Active Publication Date: 2020-08-28
ZHEJIANG UNIV OF TECH
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Problems solved by technology

However, regions with higher pulsation intensity are not necessarily suitable for raw signal extraction by long-range photoplethysmography because these regions may be disturbed by non-rigid movements such as blinking, talkin...

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  • Heart rate detection method based on multi-scale video
  • Heart rate detection method based on multi-scale video
  • Heart rate detection method based on multi-scale video

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Embodiment Construction

[0040] The present invention will be described in further detail below.

[0041] A heart rate detection method based on multi-scale video, said method comprising the following steps:

[0042] Step 1. Building a Video Pyramid

[0043] The key to building a video pyramid is the multi-scale facial region of interest, set ω l 、h l is the width and height of the first-level face region of interest ROI, and the multi-scale face ROI is defined as follows:

[0044]

[0045]

[0046] The number of levels of the pyramid l=-1, 0, 1..., where ω 0 、h 0 is the width and height of the ROI of the layer 0 region of interest. Face ROIs of different scales share the same center point (C x , Cy ), the ROI of layer 0 is defined as a bounding box tightly surrounding the contour of the face, which can be obtained by commonly used face detectors and trackers. In order to construct a multi-scale facial ROI, on the one hand, the initial ROI size is gradually Halved, that is, l=1, 2, 3... T...

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Abstract

A heart rate detection method based on a multi-scale video comprises the following steps that 1, a video pyramid is established, specifically, on the basis of an original tracking box, the size of anROI is reduced downwards, and the size of the ROI is increased upwards; step 2, blood volume pulse BVP signal extraction: a blood volume pulse signal needs to be extracted from a multi-scale channel,a multi-scale signal fusion algorithm is used for promotion and optimization of a skin tone orthogonal plane method, and when the scale feature of a pyramid is only on one layer, the proposed heart rate extraction method is the skin tone orthogonal plane method; and step 3, multi-scale signal fusion: signal fusion is performed on heart rate signal characteristics of multiple scale channels by adopting Gaussian prior convex combination, and signal processing is performed on multi-scale fusion signals to finally obtain a heart rate value. According to the method, rich heart rate features on different scales are extracted by changing the frequency, and the features are fused to improve the heart rate detection precision.

Description

technical field [0001] The invention relates to the fields of video heart rate detection, computer vision and signal processing. Background technique [0002] In recent years, remote photoplethysmography (rPPG) based on optical and physiological principles has been developed rapidly. It is a non-contact method for measuring blood volume pulse (BVP) and heart rate, and can be used in a wide range of applications. Under visible light, remote photoplethysmography can measure heart rate using consumer-grade digital cameras, expanding the range of applications for pulse measurement. The selection of the facial region of interest (ROI) is a key issue in the system, and the position selection of the ROI directly affects the quality of the measurement signal. Existing studies have shown that the cheeks, lips, and chin areas of the face contain more capillaries and have better pulse signal strength than other areas. However, regions with higher pulsation intensity are not necessari...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06K9/32G06K9/46G06K9/62G06T3/40A61B5/024A61B5/00
CPCG06T3/4084A61B5/02416A61B5/72G06T2207/30101G06T2207/30241G06V40/171G06V40/161G06V20/40G06V10/25G06V10/56G06F18/25Y02T10/40
Inventor 赵昶辰韩蔚然冯远静赵志明梅培义居峰
Owner ZHEJIANG UNIV OF TECH
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