Hybrid Approach for Classification of Electroencephalographic Signals Using Time–Frequency Images With Wavelets and Texture Features
N.J. Sairamya, L. Susmitha, S. Thomas George and M.S.P. Subathra, Karunya Institute of Technology and Sciences, Coimbatore, India
Abstract
Achieving the objective of identifying epileptic seizure activities automatically using electroencephalographic (EEG) signals is of great significance in the treatment of epilepsy. To realize this goal, a hybrid approach to analyze the time–frequency (t–f) image of EEG signals is employed in this study. In the proposed approach, the EEG signals are transformed into a t–f image using short-time Fourier transform and the t–f images are further decomposed into various ...
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