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Newborn painful expression recognition method based on deep neural network

A deep neural network, facial expression recognition technology, applied in the field of machine learning and pattern recognition, can solve the problem of spending a lot of time and energy, unable to objectively reflect the degree of neonatal pain, and achieve the effect of breaking through the technical bottleneck

Inactive Publication Date: 2017-11-24
NANJING UNIV OF POSTS & TELECOMM
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Problems solved by technology

[0004] However, the current assessment of neonatal pain in the world is performed manually by medical staff who have received special training and are familiar with various assessment technical indicators, which has brought some practical problems, such as it takes a lot of time and effort, and the assessment results are often Affected by subjective factors such as personal experience and emotions, it cannot objectively reflect the degree of neonatal pain

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  • Newborn painful expression recognition method based on deep neural network
  • Newborn painful expression recognition method based on deep neural network
  • Newborn painful expression recognition method based on deep neural network

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Embodiment Construction

[0031] The specific implementation manners of the present invention will be further described in detail below in conjunction with the accompanying drawings.

[0032] The present invention expands the application of deep learning theory to the field of facial expression recognition in dynamic videos, adopts a deep neural network model based on convolutional neural network (CNN) and long short-term memory (LSTM) network, to break through the traditional facial expression recognition method In order to improve the recognition rate and robustness in complex situations such as face occlusion, posture tilt, and illumination changes, it is necessary to develop a computer-aided neonatal pain management system based on facial expression recognition. The assessment system provides a new technical solution to help clinical medical staff assess the pain degree of newborns more timely, objectively and accurately.

[0033] Such as figure 1 As shown, the present invention has designed a new...

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Abstract

The invention relates to a newborn painful expression recognition method based on a deep neural network. According to the method, a deep learning method based on a convolutional neural network (CNN) and a long and short term memory (LSTM) network is introduced and applied to newborn painful expression recognition work, and therefore expressions such as a slight pain and an acute pain caused when a newborn is in a silent or crying state and during pain inducing operation can be effectively recognized. The deep neural network is introduced to extract time domain features and spatial domain features of a video clip, therefore, the technical bottleneck in traditional manual design and extraction of explicit expression features is broken through, and the recognition rate and robustness under complicated conditions such as face sheltering, posture tilting and illumination changing are improved.

Description

technical field [0001] The invention relates to a newborn pain expression recognition method based on a deep neural network, which belongs to the technical field of machine learning and pattern recognition. Background technique [0002] The International Association for the Study of Pain defines pain as "an unpleasant sensation and emotional experience accompanied by actual or potential tissue damage, which is a subjective sensation". However, newborns cannot describe the ability of pain. Therefore, the International Association for the Study of Pain has added "the lack of communication ability does not negate the possibility that an individual has pain experience and needs appropriate pain relief." Newborns have the ability to perceive pain after birth , Some medical operations on newborns during medical treatment can cause pain in newborns. For example, various punctures, injections, local infections, operations, environment, nursing factors, birth injuries, diseases them...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06N3/04G06N3/08
CPCG06N3/08G06V40/174G06N3/045
Inventor 卢官明洪强李晓南闫静杰
Owner NANJING UNIV OF POSTS & TELECOMM
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