Non-contact heart rate measurement method, system and device based on face image

Abstract

The invention belongs to the technical field of computer vision, deep learning and medicine, particularly relates to a non-contact heart rate measurement method, system and device based on a face image, and aims to solve the problems that an existing non-contact heart rate measurement method based on an image is greatly influenced by ROI selection, environment and other factors, and the measurement accuracy is low. The heart rate calculation error rate is large, and the real-time performance is low are solved. The method comprises the steps of obtaining a face position from a face video through face key point detection and positioning, and extracting a face local ROI area frame by frame as network model input; on the basis of a convolution and time sequence network cascade model, dividingheart rate intervals into different interval categories, embedding a channel attention network SENet into a convolution module, weights are learned according to the channel importance degree, and finally acquiring the heart rate interval categories corresponding to input videos. CNN feature extraction and the LSTM long-short-term memory neural network are combined, and the channel attention network is embedded, so that heart rate non-contact measurement with low error rate and high efficiency is realized.

Description

technical field [0001] The invention belongs to the fields of computer vision, deep learning and medical technology, and in particular relates to a non-contact heart rate measurement method, system and device based on face images. Background technique [0002] Heart rate measurement methods can be divided into contact measurement and non-contact heart rate measurement methods. Contact measurement usually requires professional medical equipment to directly contact the human body, which is inconvenient. Non-contact measurement includes obtaining the photoplethysmography (PPG, photoplethysmography) signal of the human body based on image, reflective photoelectric measurement, radio magnetic field and other methods. The periodic fluctuation of the heart causes the periodic contraction and relaxation of peripheral blood vessels, and the analysis of reflection The obtained PPG signal changes periodically to obtain the human heart rate, such as Figure 6 , which is a schematic diag...

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Problems solved by technology

[0011] In order to solve the above problems in the prior art, that is, the existing image-based non-contact heart rate measurement method is greatly affected by factors such as ROI area selection and the environment, and the heart rate calculation error rate is large and the real-time performance is low. The present invention provides A non-contact heart rate measurement method based on a face image is proposed. The non-contact heart rate measurement method includes:

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