Journal of medical systemsHumansElectrocorticographyMachine LearningNeural NetworksComputer
A Feature Extraction and Selection Framework for Electrocorticography-Based Neural Activity Classification.
Resul Adanur, Ebubekir Enes Arslan, Uğurhan Kutbay, Mehmet Feyzi Akşahin
Published: 202510.1007/s10916-025-02288-8
Abstract
Electrocorticography (ECoG) signals provide a valuable window into neural activity, yet their complex structure makes reliable classification challenging. This study addresses the problem by proposing a feature-selective framework that integrates mul…
Preview only. Read the full abstract at the source