Performance and learning rate prediction models development in FLS and RAS surgical tasks using electroencephalogram and eye gaze data and machine learning

OBJECTIVE: This study explored the use of electroencephalogram (EEG) and eye gaze features, experience-related features, and machine learning to evaluate performance and learning rates in fundamentals of laparoscopic surgery (FLS) and robotic-assisted surgery (RAS). METHODS: EEG and eye-tracking dat...

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Detalles Bibliográficos
Autores principales: Shafiei, Somayeh B., Shadpour, Saeed, Intes, Xavier, Rahul, Rahul, Toussi, Mehdi Seilanian, Shafqat, Ambreen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10615961/
https://www.ncbi.nlm.nih.gov/pubmed/37730852
http://dx.doi.org/10.1007/s00464-023-10409-y

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10615961/
https://www.ncbi.nlm.nih.gov/pubmed/37730852
http://dx.doi.org/10.1007/s00464-023-10409-y

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