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A newer version of the Gradio SDK is available: 5.20.1

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metadata
title: EEG Signal Analysis Tool
emoji: 🧠
colorFrom: blue
colorTo: purple
sdk: gradio
sdk_version: 5.8.0
app_file: app.py
pinned: false

EEG Signal Analysis Application

This application provides a comprehensive EEG signal analysis tool with an intuitive web interface. It processes EEG data files, performs various analyses, and presents the results through interactive visualizations.

Features

The EEG Signal Analysis Tool provides powerful capabilities for analyzing and visualizing EEG data:

  • Processes standard EEG data files in EDF format
  • Performs advanced signal preprocessing including filtering and artifact removal
  • Extracts meaningful time-domain and frequency-domain features
  • Generates interactive visualizations of EEG signals and analysis results
  • Provides comprehensive statistical analysis of brain wave patterns
  • Implements secure data handling and processing

Technical Details

The application is built using modern technologies and best practices:

  • Built with Gradio for an intuitive web interface
  • Utilizes MNE-Python for robust EEG signal processing
  • Implements scipy for advanced signal analysis
  • Uses matplotlib for clear data visualization
  • Employs pandas for efficient data management
  • Ensures secure handling of data and processing

Usage Instructions

  1. Upload your EEG file in .edf format using the file upload interface
  2. Click the "Analyze EEG" button to begin processing
  3. View the results in three informative visualizations:
    • Raw EEG signal plot
    • Power spectrum analysis
    • Frequency band distribution
  4. Review the detailed feature analysis provided in the text output

Security and Privacy

Your data security is our priority:

  • All processing is performed locally within the space
  • No data is stored permanently
  • Secure file handling and validation
  • Resource usage monitoring and limits

Processing Pipeline

The application implements a sophisticated processing pipeline:

  1. Signal validation and preprocessing
  2. Artifact removal and filtering
  3. Feature extraction and analysis
  4. Results visualization and presentation

Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference