Application of stochastic methods, wavelet transformations and support vectors for the study of electroencephalogram signals
This study explores the application of modern data processing methods - wavelet transformation, stochastic methods, and Support Vector Machine (SVM) - on real electroencephalogram (EEG) signals from open databases. Analyzing EEG signals is crucial for medical diagnostics and neuroscience, requiring...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Peoples’ Friendship University of Russia (RUDN University)
2025-12-01
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| Series: | RUDN Journal of Engineering Research |
| Subjects: | |
| Online Access: | https://journals.rudn.ru/engineering-researches/article/viewFile/44853/24931 |
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