Investigation on healthy and not healthy eeg signals with artificial neural networks
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Abstract (EN)
Signal processing is a way to determine differences between amplitude, frequency of signals. MATLAB interface is used for signal processing by some analysis techniques. In this study, signal processing of brainwaves recorded on EEG on MATLAB interface was told as a topic to diagnose diseases. To be able to analyze data, proper method was developed. In this study, each EEG window was analyzed in five basic EEG subbands using discrete wavelet transform using time-frequency analysis to adequately evaluate various frequency wave levels in the brain. The goal of this paper is to detect non-healthy and non-healthy through MATLAB from EEG data. KEYWORDS: Artificial neural network, EEG signal, recognition,time-frequency June 2021, 34 Page
Author
Hatem Yakob Saeed Abuseta
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Hatem Yakob Saeed Abuseta (Master Thesis). Investigation on healthy and not healthy eeg signals with artificial neural networks, 2021, Kastamonu University.
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