Extraction and Localization of Non-contaminated Alpha and Gamma Oscillations from EEG Signal Using Finite Impulse Response, Stationary Wavelet Transform, and Custom FIR
| Autor: | Nawel Jmail, Najmeddine Abdennour, Tarek Frikha, Abir Hadriche |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
Physics
Finite impulse response medicine.diagnostic_test business.industry Oscillation Stationary wavelet transform Extraction (chemistry) Pattern recognition 02 engineering and technology Electroencephalography Signal Independent component analysis 03 medical and health sciences Alpha (programming language) 0302 clinical medicine 0202 electrical engineering electronic engineering information engineering medicine 020201 artificial intelligence & image processing Artificial intelligence business 030217 neurology & neurosurgery |
| Zdroj: | Artificial Neural Networks and Machine Learning – ICANN 2018 ISBN: 9783030014209 ICANN (2) |
| Popis: | The alpha and gamma oscillations derived from EEG signal are useful tools in recognizing a cognitive state and several cerebral disorders. However, there are undesirable artifacts that exist among the electrophysiological signals which lead to unreliable results in the extraction and localization of these accurate oscillations. We introduced, three filtering techniques based on Finite Impulse Response filters FIR, Stationary Wavelet transform SWT method and custom FIR filter to extract the non-contaminated (pure) oscillations and localize their responsible sources using the Independent Component Analysis ICA technique. In our obtained results, we compared the effectiveness of these filtering techniques in extracting and localizing of non-contaminated alpha and gamma oscillations. We proposed here the accurate technique for the extraction of pure alpha and oscillations. We also presented the accurate cortical region responsible of the generation of these oscillations. |
| Databáze: | OpenAIRE |
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