EEG Seizure Prediction Flask App

Project Overview

This Flask web application is designed to predict epileptic seizures using EEG (Electroencephalogram) data. It uses a Python backend with Flask to create an interactive platform where users can input EEG data and receive seizure predictions.

Features

• EEG Data Visualization: Visualizes EEG signal data as plots.
• Seizure Prediction: Utilizes a predictive model to assess the likelihood of a seizure from EEG data.

Prerequisites

• Python 3.x
• Flask
• Numpy
• Pandas
• Matplotlib
• A pre-trained seizure prediction model (predict function in model.py).

Installation and Setup

1. Install Python 3.x and pip.
2. Install Flask, Numpy, Pandas, and Matplotlib:

   pip install Flask numpy pandas matplotlib

3. Set up the seizure prediction model in model.py.

Usage

1. Run the Flask application:

   python app.py

2. Open http://127.0.0.1:5000/ in a web browser.
3. Input the EEG data index (assumed to be a row index of a CSV file).
4. Submit to view the EEG signal plot and receive the seizure prediction.

Code Structure

• app.py: The main Flask application file with routes and logic for data processing and prediction.
• model.py: Contains the predict and base functions for seizure prediction.
• templates/index.html: HTML template for the user interface.
• static/: Folder for storing generated EEG signal plots.

Functionality Details

• The application reads EEG data from a CSV file (Epileptic Seizure Recognition.csv).
• Users submit an index, which corresponds to a row in the CSV file.
• The app visualizes the EEG signal for the specified index and uses the predictive model to assess seizure risk.
• The results, including the EEG signal plot and prediction, are displayed on the web page.

Thank you

• Pianalytix for creating their Data Science Bundle course.