Antonio Quintero-Rincón | DeepAI

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Carlos D'Giano
6 publications
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Catalina Carenzo
1 publication
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Maria Eugenia Fontecha
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Jorge Prendes
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∙ 06/02/2020

Epileptic seizure prediction using Pearson's product-moment correlation coefficient of a linear classifier from generalized Gaussian modeling

To predict an epileptic event means the ability to determine in advance ...

0 Antonio Quintero-Rincón, et al. ∙

∙ 05/22/2020

Mu-suppression detection in motor imagery electroencephalographic signals using the generalized extreme value distribution

This paper deals with the detection of mu-suppression from electroenceph...

0 Antonio Quintero-Rincón, et al. ∙

∙ 12/31/2019

Driver fatigue EEG signals detection by using robust univariate analysis

Driver fatigue is a major cause of traffic accidents and the electroence...

0 Antonio Quintero-Rincón, et al. ∙

∙ 12/18/2019

A quadratic linear-parabolic model-based classification to detect epileptic EEG seizures

The two-point central difference is a common algorithm in biological sig...

0 Antonio Quintero-Rincón, et al. ∙

∙ 12/15/2019

A novel spike-and-wave automatic detection in EEG signals

Spike-and-wave discharge (SWD) pattern classification in electroencephal...

0 Antonio Quintero-Rincón, et al. ∙

∙ 11/29/2019

Spike-and-wave epileptiform discharge pattern detection based on Kendall's Tau-b coefficient

Epilepsy is an important public health issue. An appropriate epileptifor...

0 Antonio Quintero-Rincón, et al. ∙

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