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Soft Computing

, Volume 22, Issue 7, pp 2421–2427 | Cite as

Toward a soft computing-based correlation between oxygen toxicity seizures and hyperoxic hyperpnea

  • Gianni D’Angelo
  • Raffaele Pilla
  • Jay B. Dean
  • Salvatore Rampone
Methodologies and Application

Abstract

Exposure to high levels of hyperbaric oxygen (\(\hbox {HBO}_{2}\)) can induce central nervous system oxygen toxicity in humans and animals, a phenomenon characterized by repeated tonic–clonic seizures. The risk of developing this type of convulsions represents the limiting factor in using \(\hbox {HBO}_{2}\) for a number of clinical and diving applications. Previously, using radio-telemetry in awake rats, a significant increase in the mean value of the ventilatory responses in rats to \(\hbox {HBO}_{2}\) approximately 5–8 min before onset of seizures has been observed. This response has been termed “hyperoxic hyperpnea,” and it has been hypothesized it may serve as a predictor of an impending seizure while breathing \(\hbox {HBO}_{2}\). The purpose of the present study was to apply soft computing methods to determine whether there is a direct correlation between the onset of hyperoxic hyperpnea (i.e., the ventilatory response as defined by tidal volume and respiratory frequency) and the onset of seizure. In our experiments, we used Multilayer Perceptron, Naive Bayes, J48, and U-BRAIN aimed at evidencing the correlation between the respiratory feature vectors and the onset of an impending seizure in unanesthetized, freely behaving rats breathing 4, 5 or 6 atmospheres absolute (ATA) of oxygen. This strategy was also aimed to finding a set of rules relating physiological parameters and convulsive phenomena through inductive inference.

Keywords

Oxygen toxicity Seizure Hyperoxia Diving physiology Rat Learning algorithm Soft computing U-BRAIN 

Notes

Acknowledgements

This research was supported by University of Sannio. We wish to thank the Office of Naval Research, Undersea Medicine Program.

Compliance with ethical standards

Conflict of interest

Authors declare that they have no conflict of interest.

Ethical approval

This article does not contain any studies with animals performed by any of the authors. It is based on previously published studies.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2017

Authors and Affiliations

  1. 1.Department of Science and TechnologyUniversity of SannioBeneventoItaly
  2. 2.Hyperbaric Biomedical Research Laboratory, Department of Molecular Pharmacology and PhysiologyUniversity of South Florida, Morsani College of MedicineTampaUSA

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