Skip to content

Survey on state of the art Deep Learning (DL) methods for EEG signal analysis.

License

Notifications You must be signed in to change notification settings

GioiaMancini/DL-EEGSignalAnalysis

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

8 Commits
 
 
 
 
 
 

Repository files navigation

Deep Learning for EEG Signals Analysis 🧠

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.

About

Survey on state of the art Deep Learning (DL) methods for EEG signal analysis.

Topics

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published