Evaluation of machine learning methods for seizure prediction in epilepsy
نویسندگان
چکیده
منابع مشابه
Comparison of Machine Learning Methods for Prediction of Epilepsy by Neurophysiological Eeg Signals
Investigation of brain disorders especially epilepsy and impaired cognitive functions are the most common clinical application of neurophysiologic signals. EEG signals reflect the activity of brain and are capable of assessing the brain condition during abnormalities. In this study we have investigated the potential of two different algorithms (back propagation and radial basis function) of neu...
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pg 1 LIST OF ABBREVIATIONS IN ALPHABETIC ORDER pg 2 INTRODUCTION 1. Historical background. pg 3 1.1 Epileptic seizures. pg 4 2. Epilepsy and electroencephalography. pg 7 2.1 Spatial-temporal dynamics in epilepsy. pg 8 • PREDICTION 3. Detection and prediction of seizures on scalp-EEG data. pg 9 3.1 Linear and non linear measures to predicting of seizures. pg 10 • CONTROL 4. Seizures control. pg ...
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15 صفحه اولEpileptic Seizures Prediction Using Machine Learning Methods
Epileptic seizures occur due to disorder in brain functionality which can affect patient's health. Prediction of epileptic seizures before the beginning of the onset is quite useful for preventing the seizure by medication. Machine learning techniques and computational methods are used for predicting epileptic seizures from Electroencephalograms (EEG) signals. However, preprocessing of EEG sign...
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ژورنال
عنوان ژورنال: Current Directions in Biomedical Engineering
سال: 2019
ISSN: 2364-5504
DOI: 10.1515/cdbme-2019-0028