A Centralized Health Monitoring System Using Health Related Sensors Integrated to the Mobile

A Centralized Health Monitoring System Using Health Related Sensors Integrated to the Mobile

Sudhakar Yadav (Department of CSE, Jawaharlal Nehru Technological University, Anathapur, India), B. Eswara Reddy (JNTUA College of Engineering, Kalikiri, India) and K.G. Srinivasa (Department of Information Technology, Ch. Brahm Prakash Government Engineering College, New Delhi, India)
DOI: 10.4018/IJVTIS.2018010105

Abstract

This article describes how health sensors, which measure health parameters, are miniaturized to fit the size of a mobile. They aim to integrate these sensors along with a mobile so as to provide data measurement to the vast population which use the mobile, and thus, create regional grid networks. The authors aim to use the mobile for updating health parameters as well as be the focal point of communication of the health information. As a result, the mobile would provide targeted distribution of the health information, which is advantageous compared to the traditional means of mass distribution of information. Also, a mobile acts as a focal point of gathering health related parameters, it provides a twofold advantage for setting up a low-cost region-specific health monitoring system.
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Introduction

Most of the developing countries have very poor healthcare infrastructure there are very few hospitals in compare to booming population those few hospitals are inadequately equipped very few doctors are present the basic diagnostic equipment for the diagnosis of life threatening diseases are absent, if we could build a low-cost portable health sensing device, comprising of several sensors, capable of measuring the vital attributes of a human body, and has the ability to communicate with the hospital data base, we could provide with quality medical advice.

Moreover, if the health sensing device is made to communicate with a portable computer like a tab or a smart phone which has the default ability of communicating with Cloud (database), then the whole system will be cost effective. This is because nowadays most people have access to portable communication devices. The system can also be made IoT (Internet of Things) enabled and M2M (Machine TO Machine) compatible. Thus, we can potentially benefit a large population. For the healthcare monitoring system to be reliable, each sensor should timely measure the data following the prescribed sampling rate of the parameter, and the data should be sent to the data cloud without any overlap and alert messages should also be sent to the doctor or caretaker.

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