Transforming Biomedical Applications Through Smart Sensing and Artificial Intelligence

Transforming Biomedical Applications Through Smart Sensing and Artificial Intelligence

Harini Akshaya T. J. (National Engineering College, Kovilpatti, India), Suresh V. (National Engineering College, Kovilpatti, India) and Carmel Sobia M. (National Engineering College, Kovilpatti, India)
DOI: 10.4018/978-1-7998-3591-2.ch012
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Abstract

Electronic health records (EHR) have been adopted in many countries as they tend to play a major role in the healthcare systems. This is due to the fact that the high quality of data could be achieved at a very low cost. EHR is a platform where the data are stored digitally and the users could access and exchange data in a secured manner. The main objective of this chapter is to summarize recent development in wearable sensors integrated with the internet of things (IoT) system and their application to monitor patients with chronic disease and older people in their homes and community. The records are transmitted digitally through wireless communication devices through gateways and stored in the cloud computing environment.
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Introduction

Healthcare system faces tremendous challenges but with the developments made in the healthcare systems, many residents are living a healthy and safe life with the normal health condition in many industrialized countries. Several people around the world face severe health condition, among them 285 million visually-impaired persons are also living worldwide, says the World Health Organization (WHO). Though the healthcare reform with their monitoring facility hasn’t yet reached many people, within a few upcoming years 32 million newly insured people who face severe trauma also tend to use this facility and they could also gain their maximum benefits. According to the information of the World report on disability, more than one billion people are found to have a certain disability with 150 million schools that are operated to train the disabled children (Renier and De Volder, 2010).

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