Deep convolutional neural network for the automated detection and diagnosis of seizure using EEG signals

Volume: 100, Pages: 270 - 278
Published: Sep 1, 2018
Abstract
An encephalogram (EEG) is a commonly used ancillary test to aide in the diagnosis of epilepsy. The EEG signal contains information about the electrical activity of the brain. Traditionally, neurologists employ direct visual inspection to identify epileptiform abnormalities. This technique can be time-consuming, limited by technical artifact, provides variable results secondary to reader expertise level, and is limited in identifying...
Paper Details
Title
Deep convolutional neural network for the automated detection and diagnosis of seizure using EEG signals
Published Date
Sep 1, 2018
Volume
100
Pages
270 - 278
Citation AnalysisPro
  • Scinapse’s Top 10 Citation Journals & Affiliations graph reveals the quality and authenticity of citations received by a paper.
  • Discover whether citations have been inflated due to self-citations, or if citations include institutional bias.