A maximum entropy approach for predicting epileptic tonic-clonic seizure

The development of methods for time series analysis and prediction has always been and continues to be an active area of research. In this work, we develop a technique for modelling chaotic time series in parametric fashion. In the case of tonic-clonic epileptic electroencephalographic (EEG) analysi...

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Detalles Bibliográficos
Autores principales:	Martín, María Teresa, Plastino, Ángel Luis, Vampa, Victoria
Formato:	Articulo
Lenguaje:	Inglés
Publicado:	2014
Materias:	Ciencias Exactas Ingeniería Maximum entropy Pseudo-inverse approach Tonic-clonic EEG transition
Acceso en línea:	http://sedici.unlp.edu.ar/handle/10915/85041
Aporte de:	SEDICI (UNLP) de Universidad Nacional de La Plata

id	I19-R120-10915-85041
record_format	dspace
institution	Universidad Nacional de La Plata
institution_str	I-19
repository_str	R-120
collection	SEDICI (UNLP)
language	Inglés
topic	Ciencias Exactas Ingeniería Maximum entropy Pseudo-inverse approach Tonic-clonic EEG transition
spellingShingle	Ciencias Exactas Ingeniería Maximum entropy Pseudo-inverse approach Tonic-clonic EEG transition Martín, María Teresa Plastino, Ángel Luis Vampa, Victoria A maximum entropy approach for predicting epileptic tonic-clonic seizure
topic_facet	Ciencias Exactas Ingeniería Maximum entropy Pseudo-inverse approach Tonic-clonic EEG transition
description	The development of methods for time series analysis and prediction has always been and continues to be an active area of research. In this work, we develop a technique for modelling chaotic time series in parametric fashion. In the case of tonic-clonic epileptic electroencephalographic (EEG) analysis, we show that appropriate information theory tools provide valuable insights into the dynamics of neural activity. Our purpose is to demonstrate the feasibility of the maximum entropy principle to anticipate tonic-clonic seizure in patients with epilepsy.
format	Articulo Articulo
author	Martín, María Teresa Plastino, Ángel Luis Vampa, Victoria
author_facet	Martín, María Teresa Plastino, Ángel Luis Vampa, Victoria
author_sort	Martín, María Teresa
title	A maximum entropy approach for predicting epileptic tonic-clonic seizure
title_short	A maximum entropy approach for predicting epileptic tonic-clonic seizure
title_full	A maximum entropy approach for predicting epileptic tonic-clonic seizure
title_fullStr	A maximum entropy approach for predicting epileptic tonic-clonic seizure
title_full_unstemmed	A maximum entropy approach for predicting epileptic tonic-clonic seizure
title_sort	maximum entropy approach for predicting epileptic tonic-clonic seizure
publishDate	2014
url	http://sedici.unlp.edu.ar/handle/10915/85041
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bdutipo_str	Repositorios
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A maximum entropy approach for predicting epileptic tonic-clonic seizure

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