IOT is the trending technology which may affect the networking, communication and business. Among the various applications of Internet of Things, healthcare is one of the important one. Heart disease is the leading cause of death worldwide, therefore in order to reduce this there is a need for efficient heart disease detection system. Remote health monitoring system is emerging as an essential part in one’s life. Various wearable sensors either worn or attached to the body of the patients helps in the collection of various health metrics. These sensor devices generate the data at a very high speed and it is difficult to manage and store the huge amount of data. In this paper the review on an IOT framework is given for the prediction of the heart disease. The first part focuses on the acquisition of the data using various sensors, second part focus on the data storage using cloud technologies, and third part is about the analysis of the data using various machine learning algorithms.

ZigBee, Bluetooth, Sensors, Cloud, Data mining, wearable devices

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