Encoding polysomnographic signals into spike firing rate for sleep staging

Sergio Valadez, Humberto Sossa, Raúl Santiago-Montero, Elizabeth Guevara

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2 Citas (Scopus)

Resumen

In this work, an encoding of polysomnographic signals into a spike firing rate, based on the BSA algorithm, is used as a discriminant feature for sleep stage classification. This proposal obtains a better sleep staging compared with the mean power signals frequency. Furthermore, a comparison of classification results obtained by different algorithms - such as Support Vector Machines, Multilayer Perceptron, Radial Basis Function Network, Naïve Bayes, K-Nearest Neighbors and the decision tree algorithm C4.5 - is reported, demonstrating that Multilayer Perceptron has the best performance.

Idioma originalInglés
Título de la publicación alojadaPattern Recognition-7th Mexican Conference, MCPR 2015, Proceedings
EditoresJosé Arturo Olvera López, Jesús Ariel Carrasco-Ochoa, José Francisco Martínez-Trinidad, Fazel Famili, Juan Humberto Sossa-Azuela
EditorialSpringer Verlag
Páginas282-291
Número de páginas10
ISBN (versión digital)9783319192635
DOI
EstadoPublicada - 2015
Evento7th Mexican Conference on Pattern Recognition, MCPR 2015 - Mexico City, México
Duración: 24 jun. 201527 jun. 2015

Serie de la publicación

NombreLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volumen9116
ISSN (versión impresa)0302-9743
ISSN (versión digital)1611-3349

Conferencia

Conferencia7th Mexican Conference on Pattern Recognition, MCPR 2015
País/TerritorioMéxico
CiudadMexico City
Período24/06/1527/06/15

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