The babyPose dataset

The database here described contains data relevant to preterm infants' movement acquired in neonatal intensive care units (NICUs). The data consists of 16 depth videos recorded during the actual clinical practice. Each video consists of 1000 frames (i.e., 100s). The dataset was acquired at the...

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Detalles Bibliográficos
Autores principales: Migliorelli, Lucia, Moccia, Sara, Pietrini, Rocco, Carnielli, Virgilio Paolo, Frontoni, Emanuele
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2020
Materias:
Data Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7551984/
https://www.ncbi.nlm.nih.gov/pubmed/33083503
http://dx.doi.org/10.1016/j.dib.2020.106329
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author Migliorelli, Lucia
Moccia, Sara
Pietrini, Rocco
Carnielli, Virgilio Paolo
Frontoni, Emanuele
author_facet Migliorelli, Lucia
Moccia, Sara
Pietrini, Rocco
Carnielli, Virgilio Paolo
Frontoni, Emanuele
author_sort Migliorelli, Lucia
collection PubMed
description The database here described contains data relevant to preterm infants' movement acquired in neonatal intensive care units (NICUs). The data consists of 16 depth videos recorded during the actual clinical practice. Each video consists of 1000 frames (i.e., 100s). The dataset was acquired at the NICU of the Salesi Hospital, Ancona (Italy). Each frame was annotated with the limb-joint location. Twelve joints were annotated, i.e., left and right shoul- der, elbow, wrist, hip, knee and ankle. The database is freely accessible at http://doi.org/10.5281/zenodo.3891404. This dataset represents a unique resource for artificial intelligence researchers that want to develop algorithms to provide healthcare professionals working in NICUs with decision support. Hence, the babyPose dataset is the first annotated dataset of depth images relevant to preterm infants' movement analysis.
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spelling pubmed-75519842020-10-19 The babyPose dataset Migliorelli, Lucia Moccia, Sara Pietrini, Rocco Carnielli, Virgilio Paolo Frontoni, Emanuele Data Brief Data Article The database here described contains data relevant to preterm infants' movement acquired in neonatal intensive care units (NICUs). The data consists of 16 depth videos recorded during the actual clinical practice. Each video consists of 1000 frames (i.e., 100s). The dataset was acquired at the NICU of the Salesi Hospital, Ancona (Italy). Each frame was annotated with the limb-joint location. Twelve joints were annotated, i.e., left and right shoul- der, elbow, wrist, hip, knee and ankle. The database is freely accessible at http://doi.org/10.5281/zenodo.3891404. This dataset represents a unique resource for artificial intelligence researchers that want to develop algorithms to provide healthcare professionals working in NICUs with decision support. Hence, the babyPose dataset is the first annotated dataset of depth images relevant to preterm infants' movement analysis. Elsevier 2020-09-26 /pmc/articles/PMC7551984/ /pubmed/33083503 http://dx.doi.org/10.1016/j.dib.2020.106329 Text en © 2020 The Author(s) 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
Migliorelli, Lucia
Moccia, Sara
Pietrini, Rocco
Carnielli, Virgilio Paolo
Frontoni, Emanuele
The babyPose dataset
title The babyPose dataset
title_full The babyPose dataset
title_fullStr The babyPose dataset
title_full_unstemmed The babyPose dataset
title_short The babyPose dataset
title_sort babypose dataset
topic Data Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7551984/
https://www.ncbi.nlm.nih.gov/pubmed/33083503
http://dx.doi.org/10.1016/j.dib.2020.106329
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