This document describes a GUI developed in Python for reading and viewing EEG and PSG signals in EDF format. The GUI allows annotations to be made in time records, loads and saves annotations to a text file, filters data, and generates a PDF report with statistics. PSG is a sleep study that measures physiological variables during sleep from an 8 hour EDF recording containing signals like EEG, EOG, EMG, and ECG. The GUI displays patient and signal information after loading an EDF, allows viewing selected signals by adjusting amplitude and time windows, and reading, adding, deleting, and filtering annotations for events like sleep states and patterns. It can generate a PDF report showing the distribution of events by sleep state and in time

1. Signal Viewer
(When the dreams becomes signals)
This is a Graphic User Interface (GUI) developed in python, for
reading and viewing the Encephalographic (EEG) and polysomnography
(PSG) signals, in European Data Format (EDF). This GUI also allows
make annotations in time-records, load and save the annotations in
txt file, data filtering and generate a PDF report with some
statistics.
The GUI was developed with the Graphic Toolkit (GTK) library and few
modules with a user interface designer (GLADE). The PDF Report was
created with Reportlab library.
Polysomnography is a sleep study test and is used to diagnose sleep
disorders, which a number of physiologic variables are measured and
recorded during sleep. This record contains around 8 hours of the
physiologic signals in European Data Format, for example: electrical
activity along the scalp(EEG), eye movements (EOG), muscle activity
(EMG), heart rhythm (ECG) and some others.
After the load the signal EDF (illustration 1) the GUI display the
patient and signals Information (illustration 2), as patient name,
EEG channel, signal type, sampling, frequency, prefiltering, etc.
Illustration 1: Loading EDF.

2. Illustration 2: EDF Information loaded
Illustration 4: Signals Display

3. In the illustration 4, the GUI displays the selected polysomnography
signals by the combo-boxes, also it can change the signal amplitude
and the time window size viewing. The GUI allow read, load, add and
delete the duration of basic medical annotations, as dream states,
cyclic alternate patterns subtypes and some activity autonomic.
The illustration 5, show a extra window for filter design, the filter
can be applied for any selected signal by the combo-box. For this
develops Numpy and Matplotlib python libraries was used.
The GUI generate a PDF report (illustration 6, 7) with some
statistics:
• Distribution of events by sleep states .
• Distribution of events by sleep states in time.
Illustration 5: Signal Filtering.

4. Illustration 6: PDF Report Generate

5. Illustration 7: PDF Report Generate