Pain level evaluation method based on facial pain expression video

A technology of expression and level, applied in the field of image recognition and deep learning, can solve the problems of easy fluctuation and difficult to accurately reflect the pain level of patients, and achieve high accuracy and robustness

Inactive Publication Date: 2019-10-11
嘉兴深拓科技有限公司
View PDF8 Cites 5 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Affected by light, head posture, image background, etc., the evaluation of the patient's pain level base...

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Pain level evaluation method based on facial pain expression video

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0039] A method for assessing pain levels based on facial pain expression videos, characterized in that: it includes a training phase and a recognition phase;

[0040] The training phase includes the following steps:

[0041] (1) extract the face pain expression video from the face pain expression video library, edit according to the set time period and different pain levels, and obtain video clips of several levels of different pain levels, such as setting 0-10 levels;

[0042] (2) Preprocessing the video clips of different pain levels, training and constructing a pain level assessment network including a convolutional neural network and a long short-term memory network;

[0043] Wherein the training construction process of the convolutional neural network: the training sample is each frame of a video clip containing N video frames as input, and the output is an M-dimensional human face pain expression feature, and the video clip containing N video frames will be Get N colum...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention discloses a pain level evaluation method based on a facial pain expression video. The method is characterized by comprising a training stage and a recognition stage, wherein the trainingstage comprises the following steps: (1) extracting a human face pain expression video from a human face pain expression video library, and editing according to a set time period and different pain levels to obtain a plurality of levels of video clips with different pain levels; (2) preprocessing the video clips with different pain levels, and training and constructing a pain level evaluation network comprising a convolutional neural network and a long-short-term memory network; the recognition stage comprises the following steps: collecting a human face pain expression video clip of a patient in a set time period, taking the human face pain expression video clip as input of a pain level evaluation network, and evaluating and outputting a pain level value corresponding to the human face pain expression video clip by the pain level evaluation network. The pain level evaluation method based on the facial pain expression video is high in accuracy and robustness.

Description

technical field [0001] The invention relates to the technical fields of image recognition and deep learning, in particular to a pain level assessment method based on a human face pain expression video. Background technique [0002] The World Health Organization clearly stated in 2000 that pain is a kind of human disease, often manifested as an unpleasant emotion, and accompanied by potential tissue damage. In 2001, the World Health Organization (WHO) officially recognized pain as the "fifth vital sign" after the four vital signs of breathing, pulse, body temperature and blood pressure, and pointed out that pain relief is a basic human right. Assessing pain scientifically is the first step for clinicians to implement standardized treatment of pain. Usually, the commonly used clinical assessment of pain level is Visual Analogue Scale (VAS), Numerical Pain Scale (NRS), Wong-Baker Face Scale (FRS) and so on. One of the main bases of these scoring methods is the continuous obse...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
IPC IPC(8): G06K9/00G06K9/62G06N3/04
CPCG06V40/174G06V40/168G06V40/172G06N3/045G06F18/214
Inventor 王骏浦剑金博修宇
Owner 嘉兴深拓科技有限公司
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap