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Multimodal neonatal procedural and postoperative pain assessment dataset

This paper presents the first multimodal neonatal pain dataset that contains visual, vocal, and physiological responses following clinically required procedural and postoperative painful procedures. It was collected from 58 neonates (27-41 gestational age) during their hospitalization in the neonata...

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Autores principales: Salekin, Md Sirajus, Zamzmi, Ghada, Hausmann, Jacqueline, Goldgof, Dmitry, Kasturi, Rangachar, Kneusel, Marcia, Ashmeade, Terri, Ho, Thao, Sun, Yu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7887380/
https://www.ncbi.nlm.nih.gov/pubmed/33644268
http://dx.doi.org/10.1016/j.dib.2021.106796
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author Salekin, Md Sirajus
Zamzmi, Ghada
Hausmann, Jacqueline
Goldgof, Dmitry
Kasturi, Rangachar
Kneusel, Marcia
Ashmeade, Terri
Ho, Thao
Sun, Yu
author_facet Salekin, Md Sirajus
Zamzmi, Ghada
Hausmann, Jacqueline
Goldgof, Dmitry
Kasturi, Rangachar
Kneusel, Marcia
Ashmeade, Terri
Ho, Thao
Sun, Yu
author_sort Salekin, Md Sirajus
collection PubMed
description This paper presents the first multimodal neonatal pain dataset that contains visual, vocal, and physiological responses following clinically required procedural and postoperative painful procedures. It was collected from 58 neonates (27-41 gestational age) during their hospitalization in the neonatal intensive care unit. The visual and vocal data were recorded using an inexpensive RGB camera while the physiological responses (vital signs and cortical activity) were recorded using portable bedside monitors. The recorded behavioral and physiological responses were scored by expert nurses using two validated pain scales to obtain the ground truth labels. In addition to behavioral and physiological responses, our dataset contains clinical information such as the neonate’s age, gender, weight, pharmacological and non-pharmacological interventions, and previous painful procedures. The presented multimodal dataset can be used to develop artificial intelligence systems that monitor, assess, and predict neonatal pain based on the analysis of behavioral and physiological responses. It can also be used to advance the understanding of neonatal pain, which can lead to the development of effective pain prevention and treatment.
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spelling pubmed-78873802021-02-26 Multimodal neonatal procedural and postoperative pain assessment dataset Salekin, Md Sirajus Zamzmi, Ghada Hausmann, Jacqueline Goldgof, Dmitry Kasturi, Rangachar Kneusel, Marcia Ashmeade, Terri Ho, Thao Sun, Yu Data Brief Data Article This paper presents the first multimodal neonatal pain dataset that contains visual, vocal, and physiological responses following clinically required procedural and postoperative painful procedures. It was collected from 58 neonates (27-41 gestational age) during their hospitalization in the neonatal intensive care unit. The visual and vocal data were recorded using an inexpensive RGB camera while the physiological responses (vital signs and cortical activity) were recorded using portable bedside monitors. The recorded behavioral and physiological responses were scored by expert nurses using two validated pain scales to obtain the ground truth labels. In addition to behavioral and physiological responses, our dataset contains clinical information such as the neonate’s age, gender, weight, pharmacological and non-pharmacological interventions, and previous painful procedures. The presented multimodal dataset can be used to develop artificial intelligence systems that monitor, assess, and predict neonatal pain based on the analysis of behavioral and physiological responses. It can also be used to advance the understanding of neonatal pain, which can lead to the development of effective pain prevention and treatment. Elsevier 2021-01-26 /pmc/articles/PMC7887380/ /pubmed/33644268 http://dx.doi.org/10.1016/j.dib.2021.106796 Text en © 2021 The Authors http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Data Article
Salekin, Md Sirajus
Zamzmi, Ghada
Hausmann, Jacqueline
Goldgof, Dmitry
Kasturi, Rangachar
Kneusel, Marcia
Ashmeade, Terri
Ho, Thao
Sun, Yu
Multimodal neonatal procedural and postoperative pain assessment dataset
title Multimodal neonatal procedural and postoperative pain assessment dataset
title_full Multimodal neonatal procedural and postoperative pain assessment dataset
title_fullStr Multimodal neonatal procedural and postoperative pain assessment dataset
title_full_unstemmed Multimodal neonatal procedural and postoperative pain assessment dataset
title_short Multimodal neonatal procedural and postoperative pain assessment dataset
title_sort multimodal neonatal procedural and postoperative pain assessment dataset
topic Data Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7887380/
https://www.ncbi.nlm.nih.gov/pubmed/33644268
http://dx.doi.org/10.1016/j.dib.2021.106796
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