7 citations · 11 across the 2 of their papers we have counts for
2 papers
stat.AP2024★ 7 cited
Study on spike-and-wave detection in epileptic signals using t-location-scale distribution and the K-nearest neighbors classifier
Antonio Quintero-Rincón, Jorge Prendes, Valeria Muro +1
Pattern classification in electroencephalography (EEG) signals is an important problem in biomedical engineering since it enables the detection of brain activity, particularly the…
eess.SP2019★ 4 cited
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…