This is a Flutter project named AWECG. It is an application for Windows and Android that allows you to view the ECG signal in real time and save it in a file, as well as the heart rate and classification of the signal into normal, noise, or atrial fibrillation arrhythmia implementing Deep Learning.
This application was developed as a degree project for the degree in Electronic Engineering at the Industrial University of Santander (UIS) in Bucaramanga, Colombia.
You can get the installers for Windows and Android in the Installers folder.
This project is licensed under the MIT License. See the LICENSE file for details.
Industrial University of Santander (UIS) [https://www.uis.edu.co/]
Alejandro Pulido Saravia [https://www.linkedin.com/in/pulidosaravia/]
Electronic Engineering
Bucaramanga, Colombia
2023