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

摘要

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.