Survey on state of the art Deep Learning (DL) methods for EEG signal analysis, done during the course Control of Autonomouos and Multi-Agent Systems at Sapienza University of Rome.
The report is organized as follows:
- In section II, a theoretical introduction of EEG signal processing is provided.
- In section III a summary which investigates the most common DL architectures in EEG-based applications is described.
- Section IV explores a series of meaningful applications which make use of EEG signals.
- In section V and VI EEG-based methodsfor epileptic seizure and Alzheimer’s disease detection tasks are deeply described, respectively.
- Finally, section VII concerns the conclusions.