Surgical skill level classification model development using EEG and eye-gaze data and machine learning algorithms

The aim of this study was to develop machine learning classification models using electroencephalogram (EEG) and eye-gaze features to predict the level of surgical expertise in robot-assisted surgery (RAS). EEG and eye-gaze data were recorded from 11 participants who performed cystectomy, hysterecto...

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Detalles Bibliográficos
Autores principales: Shafiei, Somayeh B., Shadpour, Saeed, Mohler, James L., Sasangohar, Farzan, Gutierrez, Camille, Seilanian Toussi, Mehdi, Shafqat, Ambreen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer London 2023
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10678814/
https://www.ncbi.nlm.nih.gov/pubmed/37864129
http://dx.doi.org/10.1007/s11701-023-01722-8

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10678814/
https://www.ncbi.nlm.nih.gov/pubmed/37864129
http://dx.doi.org/10.1007/s11701-023-01722-8

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