The babyPose dataset.
Artificial intelligence
Depth images
Neonatal intensive care units
Pose estimation
Preterm infants
Journal
Data in brief
ISSN: 2352-3409
Titre abrégé: Data Brief
Pays: Netherlands
ID NLM: 101654995
Informations de publication
Date de publication:
Dec 2020
Dec 2020
Historique:
received:
17
06
2020
revised:
07
08
2020
accepted:
18
09
2020
entrez:
21
10
2020
pubmed:
22
10
2020
medline:
22
10
2020
Statut:
epublish
Résumé
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.
Identifiants
pubmed: 33083503
doi: 10.1016/j.dib.2020.106329
pii: S2352-3409(20)31222-1
pmc: PMC7551984
doi:
Types de publication
Journal Article
Langues
eng
Pagination
106329Informations de copyright
© 2020 The Author(s).
Déclaration de conflit d'intérêts
The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
Références
Pediatr Res. 2003 May;53(5):836-42
pubmed: 12612201
IEEE Trans Biomed Eng. 2020 Aug;67(8):2370-2380
pubmed: 31870974