Abstract
This paper presents an experiment to recognize early hypoxia based on EEG analyses. A chaotic neural network, the Kill 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. © Springer-Verlag Berlin Heidelberg 2006.
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CITATION STYLE
Hu, M., Li, J., Li, G., & Freeman, W. J. (2006). Analysis of early hypoxia EEG based on a novel chaotic neural network. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4232 LNCS, pp. 11–18). Springer Verlag. https://doi.org/10.1007/11893028_2
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