An intra-operative feature-based classification of microelectrode recordings to support the subthalamic nucleus functional identification during deep brain stimulation surgery.

Stefania CoelliVincenzo LeviJasmin Del Vecchio Del VecchioEnrico MaillandSara RinaldoRoberto EleopraAnna Maria Bianchi

Published in: Journal of neural engineering (2020)

Results suggest that a small and simple set of features can be used for an efficient classification of microelectrode recordings to implement an intraoperative support for clinical decision during deep brain stimulation surgery.

Keyphrases

deep brain stimulation
parkinson disease
machine learning
minimally invasive
deep learning
obsessive compulsive disorder
coronary artery bypass
surgical site infection
patients undergoing
coronary artery disease
acute coronary syndrome
bioinformatics analysis