SeizurEShield MVP Flask Application

This repository contains a Flask web application for uploading EEG files, processing them, running predictions using a pre-trained RNN-LSTM model, and visualizing the results. Feel free to take a look at our app artifact here

Features

• Upload EEG files in .edf format
• Process uploaded files and extract EEG channels and duration
• Run predictions using a pre-trained RNN-LSTM model
• Visualize the processed EEG data

Setup Instructions

1. Clone the Repository

   git clone https://github.com/annali-2/SeizurEShield-MVP.git
   cd seizure
   

2. Create a Virtual Environment It's recommended to create a virtual environment to manage dependencies.

   python -m venv venv
   

3. Activate the Virtual Environment

   • On Windows:

     venv\Scripts\activate
     

   • On macOS/Linux:

     source venv/bin/activate
     

4. Install Dependencies

   pip install -r requirements.txt
   

5. Ensure Necessary Directories Exist

   Make sure the following directories exist in the project root:

   • uploads/
   • data/
   • model_dir/

6. Run the Application

   flask --app app run
   

7. Access the Application

   Open your web browser and go to http://127.0.0.1:5000/ to access the application.

Usage

• Upload EEG File: Navigate to the upload page and upload a .edf file.
• Process and Analyze: After uploading, the app processes the file and displays the channels and duration.
• Run Predictions: Select a montage and run predictions on the processed data.
• Download Results: Download the processed file with predictions.
• Visualize Data: View the visual representation of the EEG data.