14 citations · 34 across the 7 of their papers we have counts for
4 papers · 1 filter
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…