Determining Appropriate Window Size and Window Function for Epileptic Seizure Forecasting

The aim of this study is to determine the appropriate window size and windowing function for studies related to epileptic seizure forecasting. Firstly, in order to accomplish this aim, a suitable data set is obtained. Afterwards, tests are performed for 12 different window durations and the most sui...

Full description

Saved in:
Bibliographic Details
Main Authors: Celebi, Muharrem, Gullu, M. Kemal
Format: Conference Proceeding
Language:English
Subjects:
Dogs
Electroencephalography
Epilepsy
Feature extraction
Forecasting
iEEG
linear discriminant analysis
Signal processing
Training
window function
window size
Online Access:Request full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:The aim of this study is to determine the appropriate window size and windowing function for studies related to epileptic seizure forecasting. Firstly, in order to accomplish this aim, a suitable data set is obtained. Afterwards, tests are performed for 12 different window durations and the most suitable windowing time is determined. Determined window duration, windowing functions of 5 different properties are applied and performance rates are examined. As a result of the findings obtained in future studies, it is aimed to increase the success rate by conducting test operations with different features and classifiers.
ISSN:2687-7783
DOI:10.1109/TIPTEKNO50054.2020.9299295