Conception d'un outil informatique basé sur un réseau de neurones artificiels pour la classification automatique des stades du sommeil

Authors

  • Nizar Kerkeni Technologie et Imagerie Médicale
  • Ridha Ben Cheikh Équipe Neurophysiologie de la Vigilance, de l'Attention et des Performances
  • Mohamed Hédi Bedoui Technologie et Imagerie Médicale
  • Mohamed Dogui Équipe Neurophysiologie de la Vigilance, de l'Attention et des Performances

Keywords:

Artificial Neural Networks, Decision making, EEG Representation, sleep analysis

Abstract

The goal of our work is to develop a software tool for automatic analysis of sleep stages based on artificial neural networks (ANN). In this paper we present our approach for the design of this tool. The first difficulty lies in choosing the representation of physiological signals and mainly the electroencephalogram (EEG). Once the representation adopted, the next step is to design optimal neural network determined by a learning and validation process applied on data from a set of nights of sleep records. The result obtained with a rate of 63% of good classification for six sleep stages, encourages us to further study this issue at the representation and design levels to improve the performance of our tool.

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Published

2024-01-16

How to Cite

Kerkeni, N., Cheikh, R. B., Hédi Bedoui, M., & Dogui, M. (2024). Conception d’un outil informatique basé sur un réseau de neurones artificiels pour la classification automatique des stades du sommeil. Ética, economía Y Bienes Comunes, 9(1). Retrieved from https://journal.upaep.mx/index.php/EthicsEconomicsandCommonGoods/article/view/229

Issue

Vol. 9 No. 1 (2012)

Section

Research articles

License

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