Jose Ramon Sepulveda Sanchis⁽¹⁾, Juan Guerrero⁽²⁾, EMILIO SORIA OLIVAS⁽³⁾, Antonio Benetó⁽⁴⁾, Enriqueta Gómez⁽⁵⁾, Antonio J. Serrano López^(6)
(1)universidad de valencia - valencia. Spain
⁽²⁾Departamento de Electrónica. Universidad de Valencia - Burjassot. Spain
⁽³⁾DPTO INGENIERÍA ELECTRONICA. FACULTAD DE FISICAS - BURJASSOT/VALENCIA. Spain
⁽⁴⁾⁽⁵⁾Hospital la Fé - Valencia. Spain
⁽⁶⁾Dpto. Electrónica. Universidad de Valencia - Burjasot. Spain

Contact address:

Jose Ramon Sepulveda Sanchis universidad de valencia c/Dr moliner 50 Burjassot dept. ing.electronica valencia valencia 46100 Spain Jose.Sepulveda-Sanchis@uv.es

	[Neuroscience]	[Health Informatics]

ABSTRACT

Artificial Neural Networks are used for the detection of transient arousal during sleep. Arousals can be identified on the polysomnographic recording and are characterized by abrupt changes in electroencephalographic (EEG) frecuency and/or brief increases in electromiographic (EMG) amplitude.

The computer program analyzes three EEG, one EMG, and two EOG derivations. Several time domain properties including Movility, Mean Frequency, and Zero-Crossing are analyzed for the EEG, EMG and EOG. These values are used as inputs in the Neural Network.

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Keywords: EEG - arousal -

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Discussion Board

Any Comment to this presentation?

[ABSTRACT] [INTRODUCTION] [AROUSAL DETECTION SYSTEM] [RESULTS] [CONCLUSIONS] [REFERENCES] [Discussion Board]

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	[Neuroscience]	[Health Informatics]

Jose Ramon Sepulveda Sanchis, Juan Guerrero, EMILIO SORIA OLIVAS, Antonio Benetó, Enriqueta Gómez, Antonio J. Serrano López
Copyright © 1999-2000. All rights reserved.

Last update: 14/01/00