Unsupervised learning: application to epilepsy
Gabriel Mauricio Martínez-Toro, Dewar Rico-Bautista, Efrén Romero-Riaño and 1 more
Revista Colombiana de Computación · 2019
doi:10.29375/25392115.3718 (opens in a new tab)
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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.
Abstract licence: CC BY-NC-SA
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