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

	[Neuroscience]	[Health Informatics]

CONCLUSIONS

Due to the non-linearity of the problem linear dicriminants were of no use and artificial neural networks with the apropiate pre and post processing are well suited for the detection of arousal during sleep in EEG.

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
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Last update: 14/01/00