Spike-and-wave detection in epileptic signals using cross-correlation and decision trees

"Identify spike-and-waves patterns in epileptic signals is a typical problem in electroencephalographic (EEG) signal processing. In this paper we propose cross-correlation coupled with decision tree model as new method in order to assess and detect spike-and-wave discharges (SWD) in long-term...

Descripción completa

Guardado en:
Detalles Bibliográficos
Autores principales: Quintero-Rincón, Antonio, Alanis, Manuela, Muro, Valeria, D'Giano, Carlos
Formato: Artículos de Publicaciones Periódicas acceptedVersion
Lenguaje:Inglés
Publicado: 2020
Materias:
PROCESAMIENTO DE SEÑALES
EPILEPSIA
ELECTROENCEFALOGRAFIA
Acceso en línea:http://ri.itba.edu.ar/handle/123456789/3055
Aporte de:
Repositorio Institucional Instituto Tecnológico de Buenos Aires (ITBA) de Instituto Tecnológico de Buenos Aires (ITBA)
Descripción
Sumario:"Identify spike-and-waves patterns in epileptic signals is a typical problem in electroencephalographic (EEG) signal processing. In this paper we propose cross-correlation coupled with decision tree model as new method in order to assess and detect spike-and-wave discharges (SWD) in long-term epileptic signals. The proposed approach is demonstrated in terms of accuracy, sensitivity and specificity classification on real EEG signals using a database developed with medical annotations."

Ejemplares similares