Project

Repository for the webapp of VIDÉPÉ project of the Hackathon of the HUG 2025

VIDÉPÉ (Visualisation Interactive des Données pour l’Évaluation Préchirurgicale de l'Épilepsie) is a web app project to enable epileptolegists to display several neuroimaging modalities (e.g. T1-weighted imaging, PET and SPECT scans) and electrophysiological recordings in a unified framework during presurgical investigation for epilepsy resective surgery.

This project was proposed for the 8th HUG Hackathon, a 36-hour hacking marathon that took place between the 20th and 22nd of March 2025 at the Innovation Centre of the University Hospitals of Geneva (HUG).
This project is currently under development thanks to the support of Fondation Privée des HUG and the Innovation Centre of the HUG. The new repository can be found here: VIDEPE Project

App Layout

Example

On this page, you can use a version of VIDEPE with preloaded data. This page allows you to:

1. update the EEG topography by clicking on the EEG traces (left panel),
2. modify the opacity, threshold and visibility of the imaging data (MRI, PET, SPECT settings, menu bar),
3. scroll through the slices or rotate the 3D rendering (right panel),
4. expand the imaging panel to full screen (menu bar: Expand, left panel).

Running in local environment (Python version)

1. Open the terminal at the project root folder
2. enter python3 -m http.server 8080
3. go to http://localhost:8080

Running in local environment (Node.js version)

1. Open the terminal at the project root folder
2. enter npx serve -p 8080
3. go to http://localhost:8080