Classification of Facial Expression of Post-Surgical Pain in Children
There are certain difficulties in differentiating between children's facial expression related to pain and other stimuli. In addition, the limited communication ability of children in the preverbal stage leads to misdiagnosis when the child feels pain, for example, post-surgical conditions. In...
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| Format: | Article |
| Language: | English |
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Universidad Distrital Francisco José de Caldas
2021-01-01
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| Series: | Visión Electrónica |
| Subjects: | |
| Online Access: | https://revistas.udistrital.edu.co/index.php/visele/article/view/17425 |
| _version_ | 1797802352862822400 |
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| author | Carolina Jiménez-Moreno Jenny Kateryne Aristizábal-Nieto Olga Lucía Giraldo-Salazar |
| author_facet | Carolina Jiménez-Moreno Jenny Kateryne Aristizábal-Nieto Olga Lucía Giraldo-Salazar |
| author_sort | Carolina Jiménez-Moreno |
| collection | DOAJ |
| description | There are certain difficulties in differentiating between children's facial expression related to pain and other stimuli. In addition, the limited communication ability of children in the preverbal stage leads to misdiagnosis when the child feels pain, for example, post-surgical conditions. In this article, a classification approach of facial expression of child pain is presented based on models of pre-trained convolutional neuronal networks from the study carried out in a Colombian hospital of level 4 (Hospital Universitario San Vicente Fundación), in the recovery areas of child surgery services. AlexNet and VGG (16, 19 and Face) networks are evaluated in the own dataset using the FLACC scale and their performances are compared in three experiments. The results show that the VGG-19 model achieves the best performance (92.9%) compared to the other networks. The effectiveness of the model and transfer learning for the classification of facial expression of child pain shows a promising solution for the assessment of post-surgical pain. |
| first_indexed | 2024-03-13T05:04:26Z |
| format | Article |
| id | doaj.art-080eee49b2c747529a23e8b3dda4822a |
| institution | Directory Open Access Journal |
| issn | 1909-9746 2248-4728 |
| language | English |
| last_indexed | 2024-03-13T05:04:26Z |
| publishDate | 2021-01-01 |
| publisher | Universidad Distrital Francisco José de Caldas |
| record_format | Article |
| series | Visión Electrónica |
| spelling | doaj.art-080eee49b2c747529a23e8b3dda4822a2023-06-16T20:33:26ZengUniversidad Distrital Francisco José de CaldasVisión Electrónica1909-97462248-47282021-01-0115171610.14483/22484728.1742513105Classification of Facial Expression of Post-Surgical Pain in ChildrenCarolina Jiménez-Moreno0https://orcid.org/0000-0001-5329-9358Jenny Kateryne Aristizábal-Nieto1https://orcid.org/0000-0003-2640-1489Olga Lucía Giraldo-Salazar2https://orcid.org/0000-0001-9897-8645Universidad de AntioquiaUniversidad de AntioquiaUniversidad de AntioquiaThere are certain difficulties in differentiating between children's facial expression related to pain and other stimuli. In addition, the limited communication ability of children in the preverbal stage leads to misdiagnosis when the child feels pain, for example, post-surgical conditions. In this article, a classification approach of facial expression of child pain is presented based on models of pre-trained convolutional neuronal networks from the study carried out in a Colombian hospital of level 4 (Hospital Universitario San Vicente Fundación), in the recovery areas of child surgery services. AlexNet and VGG (16, 19 and Face) networks are evaluated in the own dataset using the FLACC scale and their performances are compared in three experiments. The results show that the VGG-19 model achieves the best performance (92.9%) compared to the other networks. The effectiveness of the model and transfer learning for the classification of facial expression of child pain shows a promising solution for the assessment of post-surgical pain.https://revistas.udistrital.edu.co/index.php/visele/article/view/17425artificial intelligenceassessment toolsfacial expressionpainpediatrics |
| spellingShingle | Carolina Jiménez-Moreno Jenny Kateryne Aristizábal-Nieto Olga Lucía Giraldo-Salazar Classification of Facial Expression of Post-Surgical Pain in Children Visión Electrónica artificial intelligence assessment tools facial expression pain pediatrics |
| title | Classification of Facial Expression of Post-Surgical Pain in Children |
| title_full | Classification of Facial Expression of Post-Surgical Pain in Children |
| title_fullStr | Classification of Facial Expression of Post-Surgical Pain in Children |
| title_full_unstemmed | Classification of Facial Expression of Post-Surgical Pain in Children |
| title_short | Classification of Facial Expression of Post-Surgical Pain in Children |
| title_sort | classification of facial expression of post surgical pain in children |
| topic | artificial intelligence assessment tools facial expression pain pediatrics |
| url | https://revistas.udistrital.edu.co/index.php/visele/article/view/17425 |
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