5 citations · 6 across the 3 of their papers we have counts for
6 papers
Epileptic seizure prediction using Pearson's product-moment correlation coefficient of a linear classifier from generalized Gaussian modeling
Antonio Quintero-Rincon, Carlos D'Giano, Marcelo Risk
To predict an epileptic event means the ability to determine in advance the time of the seizure with the highest possible accuracy. A correct prediction benchmark for epilepsy even…
Mu-suppression detection in motor imagery electroencephalographic signals using the generalized extreme value distribution
Antonio Quintero-Rincón, Carlos D'Giano, Hadj Batatia
This paper deals with the detection of mu-suppression from electroencephalographic (EEG) signals in brain-computer interface (BCI). For this purpose, an efficient algorithm is prop…
Driver fatigue EEG signals detection by using robust univariate analysis
Antonio Quintero-Rincon, Maria Eugenia Fontecha, Carlos D'Giano
Driver fatigue is a major cause of traffic accidents and the electroencephalogram (EEG) is considered one of the most reliable predictors of fatigue. This paper proposes a novel, s…
A quadratic linear-parabolic model-based classification to detect epileptic EEG seizures
Antonio Quintero-Rincon, Carlos D'Giano, Hadj Batatia
The two-point central difference is a common algorithm in biological signal processing and is particularly useful in analyzing physiological signals. In this paper, we develop a mo…
A novel spike-and-wave automatic detection in EEG signals
Antonio Quintero-Rincón, Valeria Muro, Carlos D'Giano +2
Spike-and-wave discharge (SWD) pattern classification in electroencephalography (EEG) signals is a key problem in signal processing. It is particularly important to develop a SWD a…
Spike-and-wave epileptiform discharge pattern detection based on Kendall's Tau-b coefficient
Antonio Quintero-Rincón, Catalina Carenzo, Joaquín Ems +3
Epilepsy is an important public health issue. An appropriate epileptiform discharge pattern detection of this neurological disease is a typical problem in biomedical engineering. I…