ECG Vision - Arrhythmia Anomaly Detection Application

A modern Flutter application for EKG analysis and patient management for doctors

Splash, Login & Register Splash, Login & Register Screens
Dashboard (Scanning) Dashboard (Scanning)
Analysis Analysis
Scan Details Scan Details
Settings Settings
Info Info
Profile Profile

About the Project

This project is a thesis work focused on the implementation of the user interface for an EKG analysis and doctor authentication system. The application is developed as the frontend part of the thesis, providing a modern, user-friendly interface for doctors to securely view and analyze EKG data, manage patients, and handle sessions. The backend and the custom YOLO model for EKG analysis are developed as separate projects.

The backend is powered by Python Flask and the EKG analysis leverages a custom YOLO model.

Features

  • Doctor registration and secure login
  • Session management
  • EKG scan upload and analysis
  • Patient management
  • Modern UI with light/dark mode
  • Profile and settings management

Technologies Used

Flutter Dart Python Flask