Smart ECG Monitoring and Analysis System Using Machine Learning

Abstract

In critical situations, a patient quarantines himself from others which makes it difficult for a doctor to monitor the acute health symptoms of a patient. This work aims to create a Smart Electrocardiogram monitoring and analysis system. It works intelligently using machine learning for the detection of heart disease. It enables doctors to monitor the patient remotely from a developed Django Web application. The patient will be able to record and transfer the Electrocardiogram (ECG) data to the doctor or any family members remotely which can detect heart disease. Also, it will help the people living in remote areas, lacking a proper infrastructure but can be monitored at low cost by a doctor easily. Therefore, in case of emergency situations patients can be saved by real time monitoring.