Aprendizaje no supervisado: aplicación en epilepsia

Gabriel Mauricio Martínez-Toro; Dewar Rico-Bautista; Efrén Romero-Riaño; Paola Andrea Romero-Riaño

doi:10.29375/25392115.3718

Aprendizaje no supervisado: aplicación en epilepsia

Gabriel Mauricio Martínez-Toro, Dewar Rico-Bautista, Efrén Romero-Riaño, Paola Andrea Romero-Riaño

Resultado de la investigación: Artículos / Notas › Artículo Científico › revisión exhaustiva

Resumen

Epilepsy is a neurological disorder characterized by recurrent seizures. The primary objective is to present an analysis of the results shown in the training data simulation charts. Data were collected by means of the 10-20 system. The “10–20” system is an internationally recognized method to describe and apply the location of scalp electrodes in the context of an EEG exam. It shows the differences obtained between the tests generated and the anomalies of the test data based on training data. Finally, the results are interpreted and the efficacy of the procedure is discussed.

Título traducido de la contribución	Unsupervised learning: application to epilepsy
Idioma original	Español
Páginas (desde-hasta)	20-27
Número de páginas	8
Publicación	Revista Colombiana de Computacion
Volumen	20
N.º	2
DOI	https://doi.org/10.29375/25392115.3718
Estado	Publicada - jul. 2019

Palabras clave

Auto-encoding
Automatic learning
Deep learning
Epilepsy

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10.29375/25392115.3718

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abstract = "Epilepsy is a neurological disorder characterized by recurrent seizures. The primary objective is to present an analysis of the results shown in the training data simulation charts. Data were collected by means of the 10-20 system. The “10–20” system is an internationally recognized method to describe and apply the location of scalp electrodes in the context of an EEG exam. It shows the differences obtained between the tests generated and the anomalies of the test data based on training data. Finally, the results are interpreted and the efficacy of the procedure is discussed.",

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year = "2019",

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T1 - Aprendizaje no supervisado

T2 - aplicación en epilepsia

AU - Martínez-Toro, Gabriel Mauricio

AU - Rico-Bautista, Dewar

AU - Romero-Riaño, Efrén

AU - Romero-Riaño, Paola Andrea

PY - 2019/7

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AB - Epilepsy is a neurological disorder characterized by recurrent seizures. The primary objective is to present an analysis of the results shown in the training data simulation charts. Data were collected by means of the 10-20 system. The “10–20” system is an internationally recognized method to describe and apply the location of scalp electrodes in the context of an EEG exam. It shows the differences obtained between the tests generated and the anomalies of the test data based on training data. Finally, the results are interpreted and the efficacy of the procedure is discussed.

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KW - Automatic learning

KW - Deep learning

KW - Epilepsy

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ER -

Aprendizaje no supervisado: aplicación en epilepsia

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