This project aims to create a GUI (Graphical User Iterface) for the Scorepochs tool already created in another work by Simone Maurizio La Cava.
Scorepochs aims to represent a simple tool for automatic scoring of resting-state M/EEG epochs to provide an accurate yet objective method to aid M/EEG experts during epoch selection procedure.
This graphical interface allows the user to implement the Scorepochs algorithm and obtain a graphical representation of the results, in such a way as to facilitate the choice.
| Description | Screenshot |
|---|---|
| This simple GUI is written entirely in Python with PyQt5 - PyQt is a Python binding for Qt, which is a set of C++ libraries and development tools. |  |
| Graphic representation of a set of M/EEG recordings made using the plotly Python library - The M/EEG recordings are supplied by the user by loading a .csv or .edf file. |  |
| Graphic representation of the PSD calculation result - After defining the time dimension of the epochs, the algorithm calculates for each epoch of each PSD channel using the Welch method in a given frequency range |  |
| Graphical representation of the correlation matrices - At the channel level, a similarity score, computed by using the Spearman correlation coefficient, is evaluated between the PSD values extracted from all the epochs, thereby providing a correlation matrix. |  |
| Graphical representation of the score vectors - The average is computed over the columns of the symmetric matrix to obtain a score vector with a length equal to the number of epochs, where the entries represent the mean similarity score of the corresponding epoch. |  |
| Graphical representation of the scores provided by Scorepochs for each single epoch and their distribution - These scores are obtained by calculating the average of the score vectors across the channels. |  |
- Numpy
- Scipy
- PyQt5
- Plotly