A Distinguish Method of Epileptic EEG and Deglutition EEG Based on Chaotic Noise-Reduction

Abstract

A new method for recovering epileptic EEG and deglutition EEG's nonnoise trajectory and distinguishing these two waveforms is presented. The main aim of this paper is to introduce the theory and establish math model of a simple recovering EEG's nonnoise trajectory. This method is finally used to experiment. Our results prove that chaotic dynamics does exist in EEG and signal-noise of EEG marked improves. Furthermore, it is also successful to recover structural characteristic of strange attractor destroyed by noise. The paper obtains the real chaotic trajectory of EEG with which it can calculate dipole of EEG. According to the different parameters of dipole, a method of distinguishing epileptic EEG and deglutition EEG using the measurement of nonlinear dynamics is obtained.

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Document Details

Document Type
Technical Report
Publication Date
Oct 25, 2001
Accession Number
ADA410230

Entities

People

  • Chunyan Li
  • Guanghua Ouyang
  • Guotai Jiang

Organizations

  • Tongji University

Tags

Communities of Interest

  • Biomedical

DTIC Thesaurus Topics

  • Abstracts
  • Biological Sciences
  • Biology
  • Biomedical Engineering
  • Digestive System Processes
  • Dynamics
  • Electroencephalography
  • Electrophysiological Phenomena
  • Engineering
  • Epilepsy
  • Medical Engineering
  • Noise
  • Noise Reduction
  • Nonlinear Dynamics
  • Trajectories
  • Universities
  • Waves

Readers

  • Brain and Cognitive Science; Experimental Psychology; Cognitive Neuroscience
  • Neuroscience
  • Wave Propagation and Nonlinear Chaotic Dynamics.