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dc.date.accessioned 2019-11-06T14:12:30Z
dc.date.available 2019-11-06T14:12:30Z
dc.date.issued 2014
dc.identifier.uri http://sedici.unlp.edu.ar/handle/10915/85041
dc.description.abstract 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. en
dc.format.extent 4603-4611 es
dc.language en es
dc.subject Maximum entropy es
dc.subject Pseudo-inverse approach es
dc.subject Tonic-clonic EEG transition es
dc.title A maximum entropy approach for predicting epileptic tonic-clonic seizure en
dc.type Articulo es
sedici.identifier.other doi:10.3390/e16084603 es
sedici.identifier.other eid:2-s2.0-84985919184 es
sedici.identifier.issn 1099-4300 es
sedici.creator.person Martín, María Teresa es
sedici.creator.person Plastino, Ángel Luis es
sedici.creator.person Vampa, Victoria es
sedici.subject.materias Ciencias Exactas es
sedici.subject.materias Ingeniería es
sedici.description.fulltext true es
mods.originInfo.place Facultad de Ciencias Exactas es
mods.originInfo.place Instituto de Física La Plata es
mods.originInfo.place Facultad de Ingeniería es
sedici.subtype Articulo es
sedici.rights.license Creative Commons Attribution 3.0 Unported (CC BY 3.0)
sedici.rights.uri http://creativecommons.org/licenses/by/3.0/
sedici.description.peerReview peer-review es
sedici.relation.journalTitle Entropy es
sedici.relation.journalVolumeAndIssue vol. 16, no. 8 es
sedici.rights.sherpa * Color: green * Pre-print del autor: si * Post-print del autor: si * Versión de editor/PDF:si * Condiciones: >>On open access repositories >>Publisher's version/PDF may be used >>Published source must be acknowledged >>Creative Commons Attribution License 4.0 >>Authors retain copyright >>Authors are encouraged to submit their published articles to institutional repositories >>All titles are open access journals * Link a Sherpa: http://sherpa.ac.uk/romeo/issn/1099-4300/es/


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Creative Commons Attribution 3.0 Unported (CC BY 3.0) Excepto donde se diga explícitamente, este item se publica bajo la siguiente licencia Creative Commons Attribution 3.0 Unported (CC BY 3.0)