Detection of mesial temporal lobe epileptiform discharges on intracranial electrodes using deep learning.

CONCLUSIONS: Using deep learning, we developed a high-performing, patient non-specific algorithm for detection of mTL epileptiform discharges on intracranial electrodes. SIGNIFICANCE: Our algorithm has many potential applications for understanding the impact of mTL epileptiform discharges in epilepsy and on cognition, and for developing therapies to specifically reduce mTL epileptiform activity. PMID: 31760212 [PubMed - as supplied by publisher]

https://www.ncbi.nlm.nih.gov/pubmed/31760212?dopt=Abstract

Source: Clinical Neurophysiology - November 10, 2019 Category: Neurology Authors: Abou Jaoude M, Jing J, Sun H, Jacobs CS, Pellerin KR, Westover MB, Cash SS, Lam AD Tags: Clin Neurophysiol Source Type: research