An Efficient IOT Based System for Monitoring and Prediction of Myocardial Infarction

An important part of healthcare procedures is patient care. A critical medical condition called myocardial infarction, also referred to as a heart attack, happens once the blood supply to a portion of the heart muscle is cut off, causing tissue could become damaged or even die. Wireless health monitoring systems are immensely used in healthcare facilities and other medical settings, and the medical industry underwent a revolution. Yes, a conceptual framework to security and privacy safeguards is necessary when it comes to the creation of such devices and data as well as their storage and destruction in the environment of medical care and remote health monitoring. The goal of this project is patient health record monitor is stored in IOT and can be retrieved doctors in any emergency situation and proper treatment can be given according to earlier patient records. Therefore, proper treatment is ensured to the patient. Each patient is assigned a unique patient ID. Once the patient's vital signs have been examined using the proposed system's sensors, Machine learning concepts process the data and predict whether it the likelihood of a patient having a heart attack. If the patient has a seizure, then an alert message will be displayed in the developed IoT based web application mobile application and the appropriate doctor receives an SMS with the patient's current status and ID. This could save the patient's life providing the right treatment at the right time.