PBL5 Project - Healthy Heart

Introduction

Currently, cardiovascular diseases are the leading cause of death in the world, especially in underdeveloped countries. Many people do not have the opportunity to receive regular check-ups and care for their cardiovascular health because of the high cost and insufficient time. Nowadays, smartphones have become commonplace, and most families own at least one device. Therefore, in this study, we propose a model to warn of abnormal signals in the human heart rhythm as well as proceed to build a practical, convenient, low-cost system for monitoring the heart rate and alerting the user to abnormal signals. This system can measure and give diagnostic results in real time. The model selected in this study is CNN, trained on the MIT-BIH Arrhythmia Database medical dataset with an accuracy of over 90% for the abnormal heart rhythm classification task.

The information of the project is as follows:
- Folder Data contains the dataset used in the project.
- Folder Model contains the model used in the project.
- Folder Hardware contains the hardware design and coding of the project.
- Folder Mobile contains the mobile application of the project.
- Folder Server contains the server of the project.
- Folder Report contains the report of the project.
Each folder contains a README.md file that describes the contents of the folder.