metadata
title: EEG Mental Arithmetic Task Visualizer
emoji: 💻
colorFrom: green
colorTo: purple
sdk: docker
app_port: 8501
tags:
- streamlit
pinned: false
short_description: EEG Visualizer & Data Exploration Space
🧠 EEG Mental Arithmetic Explorer
Interactive visualization tool for exploring the EEG During Mental Arithmetic Tasks dataset.
Repository Structure
space/
├── scr/
├────── app.py # Main Streamlit application
├── requirements.txt # Python dependencies
├── README.md # This file
└── edf_files.zip # Compressed EDF files (auto-extracted on launch)
The EDF files are automatically extracted when the Space starts.
Features
📈 Signal Viewer
- Visualize EEG signals from 23 channels
- Stacked or overlay plot options
- Adjustable time windows
- Multi-channel selection
🌈 Spectral Analysis
- Power Spectral Density (PSD) visualization
- Frequency band analysis (Delta, Theta, Alpha, Beta, Gamma)
- Band power comparison
- Individual channel analysis
📊 Statistics
- Channel-wise statistical metrics
- Correlation matrix heatmap
- Comprehensive data overview
👤 Subject Selection
- Browse all subjects
- View performance groups (Good/Poor)
- Toggle between resting and task states
- Support for both CSV and EDF formats
Dataset
This explorer uses the EEG During Mental Arithmetic Tasks dataset containing:
- 36 subjects with paired recordings
- 23 EEG channels (International 10/20 system)
- Resting state and mental arithmetic task recordings
- Performance-based classification
Usage
- Select Subject: Choose from 36 available subjects
- Choose Recording: Resting state or mental arithmetic task
- Select Format: CSV (processed) or EDF (original)
- Explore: Navigate through the different visualization tabs
Citation
@article{zyma2019eegmat,
author = {Zyma, Igor and Tukaev, Sergii and Seleznov, Ivan and others},
title = {Electroencephalograms during Mental Arithmetic Task Performance},
journal = {Data},
volume = {4},
number = {1},
year = {2019},
doi = {10.3390/data4010014}
}