Method for classifying and identifying neonatal pain expression and non-pain expression based on sparse representation

A sparse representation, classification and recognition technology, applied in character and pattern recognition, instruments, computer parts, etc., can solve the problem of inability to automatically recognize the pain expression of newborns, and achieve high accuracy, objectivity, and good robustness. Effect

Active Publication Date: 2012-09-12
深圳声联网科技有限公司
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Problems solved by technology

[0006] Technical problem: Aiming at the demand of developing an automatic assessment system for neonatal pain, a newborn pain and non-pain expression classification and recognition method based on sparse representation is prop

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  • Method for classifying and identifying neonatal pain expression and non-pain expression based on sparse representation
  • Method for classifying and identifying neonatal pain expression and non-pain expression based on sparse representation
  • Method for classifying and identifying neonatal pain expression and non-pain expression based on sparse representation

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[0036] The implementation of the sparse representation-based classification and recognition method of newborn pain and non-pain expressions of the present invention mainly includes the following steps:

[0037] Step 1: Build a library of newborn facial expression images

[0038] In the process of routine pain-causing operations (such as vaccination, blood sampling) for newborns and premature infants, digital cameras are used to take facial images of newborns. Specially trained doctors and nurses use the internationally recognized neonatal pain assessment tool—Neonatal Facial Coding System (NFCS), combined with other physiological indicators, to perform the analysis on the collected neonatal facial images. For the evaluation of pain degree, a score from 1 to 10 is given according to the degree of pain. Expressions with a score of 1 to 5 are classified as mild pain expressions, and those with a score of 6 to 10 are classified as severe pain expressions . In addition, the non-pain e...

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Abstract

The invention discloses a method for classifying and identifying a neonatal pain expression and a non-pain expression based on sparse representation. A training sample is used to construct a redundant dictionary. A test sample is taken as a linear combination of the training sample in the redundant dictionary. The specific sparse representation is used to carry out pain and non-pain expression classification and identification. Expressions of smile, a quiet state, crying without pain, a mild pain state and an intense pain state can be effectively identified. The method has good robustness for noise of a neonatal face image and a shielding problem. The invention provides a new method and a new approach for developing a neonatal pain automation assessment system.

Description

technical field [0001] The invention belongs to the field of image processing and pattern recognition, and relates to a facial expression recognition method, in particular to a method for classifying and recognizing pain and non-pain expressions of newborns based on sparse representation. Background technique [0002] Recent studies have confirmed that both full-term and premature infants have the ability to feel pain immediately after birth. The pain of newborns, especially premature and critically ill infants, mainly comes from invasive operations, including plantar blood sampling, arteriovenous puncture, subcutaneous and intramuscular injection, etc. Repeatedly experienced painful stimuli can have a series of short-term and long-term serious effects on newborns, especially premature and critically ill infants, including acute physiological reactions, permanent damage to the central nervous system, developmental delay, and emotional disturbance. [0003] Pain assessment i...

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Application Information

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IPC IPC(8): G06K9/66
Inventor 卢官明李晓南
Owner 深圳声联网科技有限公司
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