Big data analytics of IoT based Health care monitoring system

Abstract

New prospects for health care monitoring is engendered by the augmentation of Internet of Things (IoT) and Big data, as well as the ubiquitous nature of tiny wearable bio sensors. Many confront have yet to be addressed to create a dependable and flexible system for health care monitoring. In this paper Big data analytics on IoT based Health care system is proposed. IoT based health care monitoring system comprises of “Internet of health sensor things”. These things produce huge volumes of data that could not be handled by the physician. The Physicians important concern is that they need to make critical decisions about their patient's health from these huge volumes of health information. He/she has to segregate the information about one particular patient from the flood of health care information arriving from the massive number of patients. Intel Galileo Gen 2 is acting as IoT agent in this paper and is used to deploy the health information of patients into the Cloud. The Cloud could manage the increasing volume of health data, resourcefully share the information across healthcare systems and provide viability for Big data analytics. Real time alerting of patient health information is an important exercise in Big data which is crucial in the proposed work. The Big health sensor data are analyzed using the Hadoop framework. Since the response time of the proposed system is less, it is suitable for real time alerting.