Abstract: Now days the heart disease is the leading cause of death worldwide. It is a complex task to predict the heart attack fora medical practitioner since it is required more experience and knowledge.  However, heart rate  monitoring  is  the  most  important scale of measurement that is the influence factor for heart  attack  with  other  health  fitness  like  blood  pressure,serum cholesterol and level of blood sugar. In the era of rapid revolution of Internet of  things  (IoT),  the  sensors  for monitoring heart rate are growing in availability to patients. In this paper, I explained the architecture for heart rate and other data monitoring technique  and I also explained how  to use a machine learning technique like kNN classification algorithm to predict the heart attack by using the collected heart rate data and other health related perimeter.

Keywords: IOT, ML, Healthcare, ECG, Temperature, Sensors.

PDF | DOI: 10.17148/IJARCCE.2023.125129

Open chat
Chat with IJARCCE