Assessment of Surgical Tasks Using Neuroimaging Dataset (ASTaUND).
Journal
Scientific data
ISSN: 2052-4463
Titre abrégé: Sci Data
Pays: England
ID NLM: 101640192
Informations de publication
Date de publication:
14 10 2023
14 10 2023
Historique:
received:
16
02
2023
accepted:
28
09
2023
medline:
23
10
2023
pubmed:
15
10
2023
entrez:
14
10
2023
Statut:
epublish
Résumé
Functional near-infrared spectroscopy (fNIRS) is a neuroimaging tool for studying brain activity in mobile subjects. Open-access fNIRS datasets are limited to simple and/or motion-restricted tasks. Here, we report a fNIRS dataset acquired on mobile subjects performing Fundamentals of Laparoscopic Surgery (FLS) tasks in a laboratory environment. Demonstrating competency in the FLS tasks is a prerequisite for board certification in general surgery in the United States. The ASTaUND data set was acquired over four different studies. We provide the relevant information about the hardware, FLS task execution protocols, and subject demographics to facilitate the use of this open-access data set. We also provide the concurrent FLS scores, a quantitative metric for surgical skill assessment developed by the FLS committee. This data set is expected to support the growing field of assessing surgical skills via neuroimaging data and provide an example of data processing pipeline for use in realistic, non-restrictive environments.
Identifiants
pubmed: 37838752
doi: 10.1038/s41597-023-02603-3
pii: 10.1038/s41597-023-02603-3
pmc: PMC10576768
doi:
Types de publication
Dataset
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
699Informations de copyright
© 2023. Springer Nature Limited.
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