IoT Based Heart Attack Monitoring and Prediction System

Abstract

Heart Attack or stroke is one of the leading causes of death today: the ratio of people who die out of heart attack vs. all other diseases is very high. In a report from WHO, a total of 17 million people died from heart disease in 2016 alone. During recent decades, healthcare facilities have improved much due to the advancement and achievement that science and technology have achieved. Sensor working with IoT, and development boards made it easy to real-time monitor the patients. Many wearable devices are available, like smart bands and smartwatches that can measure essential parameters of one's health. IoT is a revolutionary tech nowadays, and it is going to be growing fast. Whereas Machine Learning is the actual future for humans for better learning and understanding. We have made a device that monitors the basic parameters of a person's heart, e.g., Heart Rate, ECG, Blood Pressure, and Chest Pain, etc. Using IoT, the device stores the data into the cloud servers. Using Cloud Computing, the device autonomously applies the Machine Learning algorithms to the health parameters. It predicts the chances of a Heart Attack.