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---
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](https://huggingface.co/datasets/BrainSpectralAnalytics/eeg-mental-arithmetic) 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
1. **Select Subject**: Choose from 36 available subjects
2. **Choose Recording**: Resting state or mental arithmetic task
3. **Select Format**: CSV (processed) or EDF (original)
4. **Explore**: Navigate through the different visualization tabs
## Citation
```bibtex
@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}
}
```
## Links
- [Dataset on Hugging Face](https://huggingface.co/datasets/BrainSpectralAnalytics/eeg-mental-arithmetic)
- [PhysioNet Page](https://physionet.org/content/eegmat/1.0.0/)
- [Original Paper](https://doi.org/10.3390/data4010014) |