Tutorials
Running the tutorials is the fastest way to learn how to use Eegle and to appreciate the way it integrates diverse packages for EEG analysis and classification.
Tutorials are organized by theme; start with those that most closely resemble your current research needs.
Things to know
- We fully-qualify the name of functions (e.g.,
FourierAnalysis.spectra) or report in the text the package where they can be found. In your code, you don't need to fully-qualify. - For producing figures in these tutorials we use
Makie.jland some other useful packages. Install them first by executing in the REPL
]add CairoMakie, GLMakie, ColorSchemes, Colors- For plotting EEG traces and topographic maps we use dedicated applications running only under Windows. The output is always given as a figure so that you can follow the tutorials also if you work with another OS.
Themes
| Theme | Uses |
|---|---|
| Spectral Analysis | traditional spectral analysis of EEG based on FFT |
| Machine Learning | typically used in the field of brain-Computer interface |
Spectral Analysis
| Tutorial | Description |
|---|---|
| Tutorial SA 1 | read an EEG file; compute and plot the spectra using the Welch (sliding windows) method |
Machine Learning
|Tutorial | Description| |:––|:-_–| |Tutorial ML 1 | relect databases and sessions; run a cross-validation for all of them |