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http://yadda.icm.edu.pl:80/baztech/element/bwmeta1.element.baztech-article-BATC-0008-0005

Czasopismo

Control and Cybernetics

Tytuł artykułu

Detecting epileptogenesis in power variant domains

Autorzy Lewis, R. A.  Parks, B.  Shmueli, D.  Capinst, S. 
Treść / Zawartość
Warianty tytułu
Języki publikacji EN
Abstrakty
EN This paper presents the merging of two sets of experiments in the continuing endeavor to mine epileptiform activity from Electroencephalograms (EEG). The goal is to develop robust classification rules for identifying epileptiform activity in the human brain. We present advancements using the author's proprietary developed spectral analysis software to link power spectra of rat EEGs experiencing epilepsy seizures with the authors DFA algorithm and their MATLAB spectral analysis. Our system links 1) power spectra of seizures, in sleep, spike and seizure states, with 2) Deterministic Finite Automata (DFA). Combining power spectra with DFA to correctly predict and identify epileptiform activity (spikes) and epileptic seizures opens the door to creating classifiers for seizures. We also present a DFA that separates the states between seizure and nonseizure using robust testing and additional algorithms to increase the rigor when the methodology analyses noisy signals. Our results show optimal identification of seizures even when significant artifact and noise is present in the polyphonic domain. Herein we present a dual methodology that increases epileptoid identification in a noisy domain that links time and frequency domain components from MATLAB and proprietary software to clinical epileptiform activity.
Słowa kluczowe
EN intracortical electroencephalograms automata   epilepsy   Fourier transforms   rough sets  
Wydawca Systems Research Institute, Polish Academy of Sciences
Czasopismo Control and Cybernetics
Rocznik 2011
Tom Vol. 40, no 2
Strony 293--314
Opis fizyczny Bibliogr. 37 poz., il.
Twórcy
autor Lewis, R. A.
autor Parks, B.
autor Shmueli, D.
autor Capinst, S.
  • Departments of Pediatrics & Neurology, University of Colorado Denver Anschutz Medical Campus, Colorado 80045, USA
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