EEG based hearing threshold classification using fractal feature and neural network

Published: Dec 1, 2012
Abstract
In this paper, proposed a method to classify EEG time series signals recorded from left and right ears by presenting an acoustical stimulus in a time locked manner. Fractal dimensional features were extracted in order to measure the complexity of temporal dynamics and response onset of auditory evoked potentials of normal hearing and abnormal hearing persons. This study identified a significant potential difference between fractal dimensional...
Paper Details
Title
EEG based hearing threshold classification using fractal feature and neural network
Published Date
Dec 1, 2012
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.