Bedridden patient pain symptom real-time monitoring method and device based on expression recognition

An expression recognition and patient technology, applied in the field of image recognition and medical treatment, can solve the problems of large individual differences, limited persistence, low efficiency, etc., to achieve automatic real-time monitoring, reduce workload, and overcome poor accuracy.

Pending Publication Date: 2020-07-31
HEFEI UNIV OF TECH
View PDF5 Cites 6 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, this manual evaluation method has many disadvantages: such as low efficiency, limited persistence, and the influence of observer's subjectivity, etc.
There are few feature points selected on the face, and the division of facial conditions is relatively general, so it is difficult to accurately detect the pain degree of t

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
  • Bedridden patient pain symptom real-time monitoring method and device based on expression recognition
  • Bedridden patient pain symptom real-time monitoring method and device based on expression recognition
  • Bedridden patient pain symptom real-time monitoring method and device based on expression recognition

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0058] In this example, if figure 1 As shown, a real-time monitoring method for pain symptoms of bedridden patients based on expression recognition is carried out as follows:

[0059] Step 1. Establish a pain expression training data set:

[0060] Step 1.1. Set A pain levels from low to high according to the pain grading scale, and collect corresponding pain expression picture data according to different pain levels;

[0061] In the specific implementation, according to the World Health Organization Pain Level Classification Table, the value of A is 5, which is divided into five levels from 0 to IV in turn, corresponding to no pain, mild pain, moderate pain, severe pain, and intolerable five levels. Pain level, and use this to build a data set of pain expression pictures.

[0062] Step 1.2, use the dlib tool to preprocess all the pain expression picture data to obtain an RGB image containing face information of k×k pixels; here, the pixel value k of the picture is 64, and an...

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 bedridden patient pain symptom real-time monitoring method and device based on expression recognition. The method comprises the following steps: 1, establishing a pain expression training data set; 2, establishing a neural network model for analyzing pain expressions, and performing training to obtain a pain grading model; and 3, acquiring three real-time images of a human face at a same moment, preprocessing the images, and inputting the preprocessed images into the neural network model to obtain probabilities corresponding to A pain levels, and selecting a pain level corresponding to the maximum probability as the pain level of the detection images at the current moment, and performing alarm processing on the pain level exceeding a threshold so as to realize real-time monitoring. According to the invention, pain can be accurately evaluated in real time and automatically, so that effective monitoring of a bedridden patient is realized.

Description

technical field [0001] The invention relates to the fields of image recognition and medical technology, in particular to a method and device for real-time monitoring of a bedridden patient based on facial expression recognition. Background technique [0002] Related technologies in facial expression recognition have been widely used in security, entertainment, finance and other fields, and play an important role. Its application method and application scope are still improving and expanding, and it has broad development prospects. [0003] In medicine, how to realize the assessment of the patient's pain degree has always been an important issue. Pain is defined as a subjective feeling in medicine, and patients' self-assessment has high reference value. However, some special patients, such as patients who have lost active consciousness, high-risk or disabled patients, are often unable to describe their own pain level in words. At this time, manual assessment by medical 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): A61B5/00G06K9/00G06K9/62G06N3/04
CPCA61B5/4824A61B5/746A61B5/0077A61B5/0082A61B5/7267G06V40/174G06V40/172G06N3/047G06N3/045G06F18/2415G06F18/214
Inventor 李桢旻桂辛鹏熊纬张兆阳韩天祎
Owner HEFEI UNIV OF TECH
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