A heart rate variability measurement method based on mobile device camera

A heart rate variability, mobile device technology, applied in the measurement of pulse rate/heart rate, diagnostic record/measurement, medical science, etc., can solve problems such as tedious steps, achieve high accuracy, realize automatic analysis and calculation, and easy to operate.

Active Publication Date: 2022-04-12
ZHEJIANG UNIV CITY COLLEGE
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The present invention aims to overcome the deficiency that the traditional heart rate variability measurement method requires professional medical equipment and cumbersome steps, and proposes a non-contact heart rate variability measurement method using a mobile device camera

Method used

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  • A heart rate variability measurement method based on mobile device camera
  • A heart rate variability measurement method based on mobile device camera
  • A heart rate variability measurement method based on mobile device camera

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Experimental program
Comparison scheme
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Embodiment

[0035] Such as figure 1 As shown, a heart rate variability measurement method based on information obtained from a mobile device camera, the steps are as follows:

[0036] S1. Extract the information obtained by the camera of the mobile device, and preprocess the rough video frame data obtained by the camera of the mobile device; divide the face of the human body into 5 regions to obtain facial information, and then capture the video from the front camera of the mobile device Extract and normalize the green channel of each frame in . Based on the obtained video information, the green channel information is normalized.

[0037] S2, using a sliding window mechanism to create a multi-channel image;

[0038] The inventive model processes the green channel information to predict the HR and heart rate variability of the person in the captured image. However, processing each frame produced by the camera is computationally prohibitively expensive. Therefore, a sliding window mecha...

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Abstract

The invention relates to a method for measuring heart rate variability based on a camera of a mobile device, comprising: preprocessing video image information acquired by the camera of the mobile device; regularizing the extracted superimposed images, and creating a multi-channel image. The beneficial effects of the present invention are: the face is divided into 5 regions, and the video frame information is extracted by a non-contact mobile device on the face, and the green channel information of the spectral information is further obtained; Calculate the actual pulse data as label data; introduce a two-stage deep convolutional neural network to learn the training data information, establish a heart rate variability recognition model based on facial images, and apply it to different mobile phone Android systems; the proposed invention technology passed The mobile device extracts facial information and applies the model to automatically calculate heart rate variability, which is easy to operate, realizes automatic analysis and calculation, and has high accuracy.

Description

technical field [0001] The invention relates to a heart rate variability measurement method, in particular to a non-contact heart rate variability measurement method based on a camera of a mobile device. Background technique [0002] Heart rate variability (HRV, Heart rate variability) is an important physiological indicator that reflects changes in the balance of sympathetic and parasympathetic nerves in the autonomic nervous system. Proven to be an effective diagnostic tool in clinical studies. Additionally, heart rate variability monitoring can be used to screen and track the health of patients at serious health risk. In addition to clinical applications, heart rate variability measurement can help measure a user's level of stress and engagement while performing various tasks, as well as monitor and improve sleep quality. [0003] Traditional heart rate variability measurement technology has two obvious disadvantages: first, traditional heart rate variability measuremen...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): A61B5/024A61B5/318A61B5/346
CPCA61B5/02405A61B5/0077A61B5/0082A61B5/7267A61B5/72A61B5/318
Inventor 陈垣毅陈文望郑增威
Owner ZHEJIANG UNIV CITY COLLEGE
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