EEG CLASSIFICATION FOR EPILEPSY BASED ON WAVELET PACKET DECOMPOSITION AND RANDOM FOREST

EEG CLASSIFICATION FOR EPILEPSY BASED ON WAVELET PACKET DECOMPOSITION AND RANDOM FOREST

EEG (electroencephalogram) can detect epileptic seizures by neurophysiologists in clinical practice with visually scan long recordings. Epilepsy seizure is a condition of brain disorder with chronic noncommunicable that affects people of all ages. The challenge of study is how to develop a method fo...

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Bibliographic Details
Main Authors: Yuna Sugianela, Qonita Luthfia Sutino, Darlis Herumurti
Format: Article
Language:English
Published: Universitas Indonesia 2018-02-01
Series:Jurnal Ilmu Komputer dan Informasi
Subjects:
EEG, epilepsy, seizure, wavelet, random forest
Online Access:http://jiki.cs.ui.ac.id/index.php/jiki/article/view/549

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