SVM-Based System for Prediction of Epileptic Seizures From iEEG Signal
نویسندگان
چکیده
منابع مشابه
Prediction of epileptic seizures.
For almost 40 years, neuroscientists thought that epileptic seizures began abruptly, just a few seconds before clinical attacks. There is now mounting evidence that seizures develop minutes to hours before clinical onset. This change in thinking is based on quantitative studies of long digital intracranial electroencephalographic (EEG) recordings from patients being evaluated for epilepsy surge...
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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: IEEE Transactions on Biomedical Engineering
سال: 2017
ISSN: 0018-9294,1558-2531
DOI: 10.1109/tbme.2016.2586475