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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 proposed to solve the problem that the existing technology cannot accurately and automatically recognize neonatal pain expressions, and provide clinical Provides an objective and accurate pain assessment tool opens up a new avenue

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

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Embodiment Construction

[0036] The realization of the neonatal pain and non-pain expression classification and recognition method based on sparse representation of the present invention mainly includes the following steps:

[0037] Step 1: Create a newborn facial expression image library

[0038] During routine painful procedures (eg, vaccination, blood collection) on newborns and premature infants, digital cameras were used to capture facial images of newborns. Specially trained doctors and nurses, using the internationally recognized neonatal pain assessment tool - Neonatal Facial Coding System (Neonatal Facial Coding System, NFCS), combined with other physiological indicators, the collected neonatal facial images For the evaluation of the degree of pain, a score from 1 to 10 is given according to the degree of pain. Expressions with scores ranging from 1 to 5 are classified as mild pain expressions, and expressions with scores ranging from 6 to 10 are classified as severe pain expressions . In a...

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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...

Claims

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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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