TB - Real-time Visualization of High-Density EEG Signals

This document guides you through the installation and execution of the first demonstrator (Python-based), second demonstrator (Rust-based), and the web application for EEG visualization.

These instructions are validated for Windows 10. For Linux or macOS, some commands may differ slightly.

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First Demonstrator

Setup

1. Navigate to the first_demo directory:

cd ./first_demo

2. Create a Python virtual environment:

python -m venv .venv

3. Activate the virtual environment:

• CMD:

.venv\Scripts\activate.bat

• PowerShell:

.venv\Scripts\Activate.ps1

• Linux/macOS:

source .venv/bin/activate

(In VSCode with Python support, the active environment is shown in the status bar at the bottom right.)

4. Install dependencies:

pip install -r requirements.txt

5. Go to the END_V1 Tag (Optional)

To view the first demonstrator in its final state before any bug fixes or modifications for the second demonstrator, refer to the END_V1 tag.

git checkout tags/END_V1

Run

Execute the demonstrator using FastAPI's development server:

fastapi dev main.py

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Second Demonstrator

Prerequisites

• Rust must be installed. Download and install from rust-lang.org.

Run

1. Navigate to the second_demo directory:

cd ./second_demo

2. Run the demonstrator:

cargo run

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ReViz-HD - hdEEG Real-time Visualization Platform

Prerequisites

• NodeJS must be installed. Download from nodejs.org.

Setup and Run

1. Navigate to the client directory:

cd ./client

2. Install packages:

npm install

3. Launch the web application:

npm run dev