5 citations · 5 across the 2 of their papers we have counts for
5 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…
Hand bone conduction sound study by using the DSP Logger MX 300
Melanie Adler, Mariana Fiala Sanchez, Constanza Martini +3
Bone conduction is the transmission of acoustic energy to the inner ear by different paths involving the bones of the skull. In this work, we use the path the hand provides in orde…
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…