Skip to content

Deep Learning Based IoT enabled Device for realtime heartbeat classification using ECG Montioring

Notifications You must be signed in to change notification settings

thomasjv799/ECG_Analysis_using_AI_IoT

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

4 Commits
 
 
 
 
 
 
 
 

Repository files navigation


ECG using AI

Deep Learning Based IoT enabled Device for realtime heartbeat classification using ECG Montioring

About The Project

This repo contains the code and the best model used for the paper. There are two main folders, IoT contains the code used for IoT part of the project and DL contains about the notebook used for training and the best model we saved.

(back to top)

Built With

Some of the important softwares and libraries that was used in the research.

(back to top)

Getting Started

In order to understand how the model was created refer the notebook in the DL Folder. The IoT part contains some of the code used to collect the ECG Signal. Relevant knowlege of Python and deep learning is required in order to understand the code. Try to create a copy before running as it can tamper with the original resuls.

Contact

Your Name - Thomas J Varghese - thomasjvarghese49@gmail.com

Project Link: https://github.com/thomasjv799/ecg_using_ai_iot

(back to top)

About

Deep Learning Based IoT enabled Device for realtime heartbeat classification using ECG Montioring

Topics

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages