Classification of Motor Imagery Right and Left Hand Movement EEG Signals for BCI Application Based on Statistical Analysis

IJSRP, Volume 9, Issue 10, October 2019 Edition [ISSN 2250-3153]

Classification of Motor Imagery Right and Left Hand Movement EEG Signals for BCI Application Based on Statistical Analysis

Htin Lin Kyaw, La Pyae Lynn, HninThidar Aye

Abstract: EEGaccepted a device to analyze the action of the brain when it is completing any task. EEG signals are appropriated for BCI application andhelp humans to understand concerning the brain functions and its activities and hence are helpful in the diagnosis of the neurobiological disorders in it. It has the three main steps to complete classification process. Firstly, the artifacts are eliminated from the EEG signals to obtain the accurate results by using Elliptical filter.

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Htin Lin Kyaw, La Pyae Lynn, HninThidar Aye (2019); Classification of Motor Imagery Right and Left Hand Movement EEG Signals for BCI Application Based on Statistical Analysis; International Journal of Scientific and Research Publications (IJSRP) 9(10) (ISSN: 2250-3153), DOI: http://dx.doi.org/10.29322/IJSRP.9.10.2019.p9441