Generalisation capabilities of machine-learning algorithms for the detection of the subthalamic nucleus in micro-electrode recordings
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Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s11548-024-03202-2.pdf
Reference21 articles.
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4. Schiaffino L, Muñoz A.R, Martínez J.G, Villora J.F, Gutiérrez A. Torres I M (2016) : STN area detection using K-NN classifiers for MER recordings in Parkinson patients during neurostimulator implant surgery. In: Journal of physics: conference series, vol 705. IOP Publishing, p 012050
5. Valsky D, Marmor-Levin O, Deffains M, Eitan R, Blackwell KT, Bergman H, Israel Z (2017) Stop! border ahead: automatic detection of subthalamic exit during deep brain stimulation surgery. Mov Disord 32(1):70–79
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