To solve the problem of optimal wavelet basis function selection in feature extraction of
motor imagery electroencephalogram (MI-EEG) by wavelet packet transformation (WPT) …

In this study, the electrical activities in the brain were classified during mental mathematical
tasks and silent text reading. EEG recordings are collected from 18 healthy male …

In this study, EEG data recorded during mental arithmetic operations and silent reading were
analyzed by discrete wavelet transform and feature vectors were obtained. The obtained …

In this study, the performances of Random Forest and J48 Decision Tree are compared for
classification of EEG signals recorded during basic mathematical operations and text …

In this paper, Software Defined Radio is demonstrated as the future solution to wireless
technology in terms of reprogrammable and reconfigurable architecture. Wavelet Transform …

In this study, the effects of feature selection on classification of the electrical signals
generated in the brain during numerical and verbal operations are investigated. 18 healthy …

In all functions of the brain, electrical signals called volumetric conduction occur in nerve
cells in the brain. The process of measuring and recording these electrical signals by means …

Gelişen teknoloji ile birlikte bilim dünyasında büyük gelişmeler görülmektedir. Bu
gelişmelerden klinik tanı ve tedavi uygulamaları da büyük ölçüde etkilenmiştir. Sağlık …

The interaction of weak extremely low frequency (ELF) waves generated by
electroencephalography (EEG) with the environment is of considerable interest. The range …

To solve the problem of optimal wavelet basis selection in motor imagery
electroencephalogram (MI-EEG) denoising by wavelet transform, based on the analysis of …