Neonatal pain expression classification method based on CNN (convolutional neural network)

Abstract

The invention discloses a neonatal pain expression classification method based on a CNN (convolutional neural network). The method comprises the following steps: firstly, neonatal pain expression images are acquired, the images are classified by professional medical staff according to calm, cry, slight pain and intense pain level by level, and a neonatal pain expression image library is established; secondly, the CNN containing one data layer, three convolutional layers, two full connection layers and one classification layer is constructed; then samples in the neonatal pain expression image library are taken as data input of the CNN, iterative training is performed on the CNN with a back propagation algorithm, and optimizing training is performed on global parameters, so that a network output loss function value is reduced and converged; finally, neonatal pain expression test samples are input and then recognized and classified with the CNN, expression recognition of neonatal infants in calm, cry, slight pain and intense pain states is realized, and one novel method and way is provided for evaluating neonatal pain degree.

Description

technical field [0001] The invention relates to a facial expression recognition method, in particular to a newborn pain expression classification method based on a convolutional neural network, and belongs to the technical field of image processing and pattern recognition. Background technique [0002] With the continuous improvement and progress of modern medicine, the latest research has confirmed that newborn babies have a certain ability to perceive pain. During the nursing process, the pain of newborns mainly comes from external invasive stimuli, including plantar blood sampling, arteriovenous puncture, subcutaneous and intramuscular injections, etc. Repeated painful stimuli can have a series of serious effects on newborns, mainly including acute physiological reactions, permanent damage to the central nervous system, developmental delays, and emotional disturbances. Therefore, pain assessment for neonates is of great significance. [0003] At present, scientific rese...

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Problems solved by technology

[0009] The technical problem to be solved by the present invention is to provide a newborn pain expression classification method based on convolutional neural network, solve the problem that traditional methods cannot accurately and automatically identify newborn pain expressions, and provide efficient, objective and accurate pain assessment for clinical medicine tools open up a new, efficient approach to

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