Newborn pain degree assessment method and system based on facial expression recognition

Abstract

The invention discloses a newborn pain degree assessment method and system based on facial expression recognition, and the method comprises the steps: building a newborn pain facial expression image data set which comprises a preprocessed newborn facial expression image and a corresponding expression class label; constructing a DCNN (deep convolutional neural network) for estimating the pain degree of a newborn, employing a disclosed large-size data set with a label for the pre-training of a network, obtaining an initial weight parameter value, carrying out the fine tuning of the network through the facial expression image data set, and obtaining a trained network model; inputting a to-be-tested newborn facial image into the trained network for facial expression classification and recognition, and obtaining a pain degree assessment result. The method can make the most of the features extracted through the DCNN, can obtain a better pain degree assessment result through a small-size newborn pain degree facial expression image data set, and is a new method for the development of a system for automatic assessment of the pain degree of the newborn based on the facial expression recognition.

Description

technical field [0001] The invention relates to the field of facial expression recognition and machine learning, in particular to a method and system for evaluating neonatal pain degree based on facial expression recognition. Background technique [0002] Modern medical research shows that newborns can perceive and remember external pain stimuli. During the nursing and treatment of newborns, it is usually accompanied by painful operations, such as plantar blood sampling, arteriovenous puncture, subcutaneous and intramuscular injection, etc. Repeatedly experienced painful stimuli will have a series of short-term and long-term adverse effects on newborns, such as acute stress, permanent damage to the central nervous system, and emotional disturbance, so it is of great clinical significance to correctly assess pain and take analgesic measures . [0003] Pain assessment is a challenging problem in pediatrics due to the inability of newborns to verbally describe pain sensations...

AI Technical Summary

Problems solved by technology

[0006] Purpose of the invention: In view of the problems in the prior art, the purpose of the present invention is to provide a newborn pain expression recognition method and system based on facial expression recognition, which combines DCNN and transfer learning to overcome the need for large-scale labeling in the optimization training of the DCNN model The data set supports the problem that the number of samples in the neonatal pain facial expression image data set is insufficient. It can make full use of the existing public large-scale labeled image data to automatically learn the feature representation of the image, and effectively improve the accuracy of neonatal pain assessment.

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