Lecture Notes in Computer Science, 2006, Volume 4232/2006, 11-18, DOI: 10.1007/11893028_2

Analysis of Early Hypoxia EEG Based on a Novel Chaotic Neural Network

Meng Hu, Jiaojie Li, Guang Li and Walter J. Freeman

View Related Documents

Abstract

This paper presents an experiment to recognize early hypoxia based on EEG analyses. A chaotic neural network, the KIII model, initially designed to model olfactory neural systems is utilized for pattern classification. The experimental results show that the EEG pattern can be detected remarkably at an early stage of hypoxia for individuals.

Keywords  Chaotic neural network - Hypoxia - EEG

Fulltext Preview

Image of the first page of the fulltext document