Evaluation of window size in classification of epileptic short-term EEG signals using a Brain Computer Interface software
Journal Title: Engineering, Technology & Applied Science Research - Year 2018, Vol 8, Issue 4
Abstract
The complexity of epilepsy created a fertile ground for further research in automated methods, attempting to help the epileptologists’ task. Over the past years, great breakthroughs have emerged in computer-aided analysis and the advent of Brain Computer Interface (BCI) systems has greatly facilitated the automated seizure analysis. In this study, an evaluation of the window size in automated seizure detection is proposed. The EEG signals from the University of Bonn was employed and segmented into 24 epochs of different window lengths with 50% overlap each time. Statistical and spectral features were extracted in the OpenViBE scenario that were used to train four different classifiers. Results in terms of accuracy were above 80% for the Decision Trees classifier. Also, results indicated that different window sizes provide small variations in classification accuracy.
Authors and Affiliations
K. D. Tzimourta, L. G. Astrakas, A. M. Gianni, A. T. Tzallas, N. Giannakeas, I. Paliokas, D. G. Tsalikakis, M. G. Tsipouras
Keywords
Related Articles
- EP ID EP168829
- DOI -
- Views 253
- Downloads 0
Implementation of Close Loop Speed Control with VVVF Control and Slip Regulation on LIM
Open loop VVVF control has the disadvantage of low output torque when working at low frequency and poor speed precision at different load conditions.Various performance-improving schemes have been proposed for the basic...
SHAF for Mitigation of Current Harmonics Using p-q Method with PI and Fuzzy Controllers
Commencing with incandescent light bulb, every load today creates harmonics. Unfortunately, these loads vary with respect to their amount of harmonic content and response to problems caused by harmonics. Issue of Harmoni...
Temporal Analysis of Temperature and Precipitation Trends in Shaheed Benazir Abad Sindh, Pakistan
Temperature and precipitation variations have a huge environmental, social and economic impact. This study aims to analyze the temporal variation of temperature and precipitation in Shaheed Benazir Abad district by using...
A Cloud Associated Smart Grid Admin Dashboard
Intelligent smart grid system undertakes electricity demand in a sustainable, reliable, economical and environmentally friendly manner. As smart grid involves, it has the liability of meeting the changing consumer needs...
A Global Online Handwriting Recognition Approach Based on Frequent Patterns
In this article, the handwriting signals are represented based on geometric and spatio-temporal characteristics to increase the feature vectors relevance of each object. The main goal was to extract features in the form...