Using Automated Detection and Classification of Interictal HFOs to Improve the Identification of Epileptogenic Zones in Preparation for Epilepsy Surgery
S. Farahmand, T. Sobayo, D. Mogul
This paper proposes an automated method to detect and classify interictal HFOs to improve identification of epileptogenic zones for epilepsy surgery, showing high sensitivity and clinical relevance.
bioRxiv · Jun 23, 2019 · PreprintBioengineering