🧠 EEG Signal Visualizer

A web application for interactive visualization and analysis of EEG signals. It allows users to select channels, filter brainwave frequencies (alpha, beta, theta, delta), and manipulate the plot in real time.

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👨‍💻 Authors

Sergiusz Pyskowacki, Filip Jaworski

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⚡ Project Overview

The goal of the project is to enable fast and intuitive EEG data analysis through a browser-based application built with Dash (or FastAPI as an alternative). The user can filter brainwaves, select EEG channels, and explore signals through a convenient interface.

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📘 Project Description

The application allows:

• loading EEG files in various formats (.edf, .xdf, .csv, .xsl),
• selecting EEG channels for display,
• filtering data by frequency bands (e.g., alpha, beta waves),
• interactive zooming and panning of the plot,
• browsing data through a web interface,
• generating a 2D topographic map,
• downloading a file with extracted brainwave data.

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🎯 Goals and Assumptions

• Clear visualization of EEG data
• Interactive plot with zoom and pan capabilities
• Support for multiple EEG channels
• Filtering brainwaves by frequency bands

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🧩 Features

✅ EEG data import
✅ Dynamic channel selection
✅ Frequency band filtering:

• Delta (0.5–4 Hz)
• Theta (4–8 Hz)
• Alpha (8–13 Hz)
• Beta (13–30 Hz)
  ✅ Interactive plot (zoom, pan, reset)
  ✅ Intuitive web interface
  ✅ Generation of a 2D topographic map
  ✅ Downloading brainwave data as a file

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🛠️ Technologies Used

Frontend:

• Dash
• Matplotlib

Backend:

• Pandas
• NumPy
• MNE

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🚀 How to Run the Project

1. Clone the repository:

   git clone https://github.com/your-username/your-repo.git
   cd BrainUp
   python app.py