Methodical IoT-Based Information System in Healthcare

Methodical IoT-Based Information System in Healthcare

Ambika N. (Department of Computer Applications, SSMRV College, Bangalore, India)
Copyright: © 2020 |Pages: 23
DOI: 10.4018/978-1-7998-0261-7.ch007

Abstract

Elderly monitoring has become essential to provide comfort and flexible life for the aged. Internet of things is a field that aids in providing accurate information through communication. Using these devices, emergency alerts can be raised. The chapter provides an assistance model that aids the caretakers and doctors to provide appropriate action during emergencies. Different conditions of the patient are considered to analyze the working of the system. The work shows considerable amount of flexibility from the previous system.
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Introduction

Elderly monitoring is essential in today’s world. Smart equipment can be used to supervise the object of interest and alert the necessities in time. According to the world health organization report, the elderly in South-East Asian region is rising at the rate of 6% in comparison to the world population (McEvedy, Colin, & Jones, 1978). The report claims to double from 12% in 2015 to 22% in 2020. The life expectancy of the elderly will outnumber the infants below the age of 5 years. According to the recent survey 125 million people are aged 80+ onwards. Due to various reasons some of the elderly are subjected to stay alone and look after themselves. The elderly are liable to frail and hence require help (Chakraborty, B., & S.K., 2016) (C, B, & S.K., 2014) (G, Chakraborty, & G, 2019) from others. Some of the common disorders in this category of humans are hearing loss (Boi, et al., 2012) (Weinstein, E., Spitzer, & Ventry, 1986), back/neck pain (Bressler, B., Keyes, Rochon, & Badley, 1999) (Lavsky‐Shulan, Wallace, Kohout, Lemke, Morris, & Smith, 1985), diabetes (Meneilly, S., & Tessier, 2001) and so on. These elderly are reluctant to many kinds of fatal conditions like Alzheimer disease (Devanand, Taylor, Gurland, Wilder, Stern, & Mayeux, 1996), stroke (Draper, Poulos, Cole, Poulos, & Ehrlich, 1992), heart attacks (Piller, et al., 2006), etc which requires immediate attention.

Internet-of-things (Pang, et al., 2015) aids in providing an appropriate measure for these kinds of situations. IoT devises aids in better communication through web applications and mobile devices to the respective personnel. Using these communicating devices, the elderly whether indoor/outdoor will be under continuous surveillance. These devices provide alert to the receptor in case of emergencies. They also provide time-to-time information of the observed object. Many suggestions are provided by various authors (Abbate, Stefano, Avvenuti, Corsini, Light, & Vecchio., 2010). The authors in (Nasution, Hans, & Emmanuel, 2007) have considered only the indoor environment and provided their suggestions limited to that environment. Both indoor and outdoor environment (Bourouis, Abderrahim, Feham, & Bouchachia, 2011) (Mainetti, Patrono, Secco, & Sergi, 2016) are considered in some works. Considering outdoor environment the personnel has to be in constant vigilance. Each work provided by various authors addresses different issues or provides a better improvement over the other. The authors in (Mishra, Lin, & Chang, 2014) have addressed cardiac patients. In (Ani, Krishna, Anju, Aslam, & Deepa, 2017) the authors have considered the stroke patients and their monitoring.

Many kinds of wearables (Basanta, Huang, & Lee, 2016) are used by the authors. We-watch wristband is used to provide the solution to elderly monitoring in (Pinto, Sandro, Cabral, & Gomes, 2017). In (Shehab, Ismail, Osman, Elhoseny, & El-Henawy, 2017) a wearable ring device is used to monitor the health of the elderly. The devices are not required in some of the suggested work(Wang, Yuxi, Wu, & Ni, 2017). Each work consists of its own way of measuring and concluding the situation of the personnel. In (Chandel, Sinharay, Ahmed, & Ghose, 2016) the authors have used fall, immobility, step count and stride length are the basic events that are observed. In (Foroughi, Homa, Aski, & Pourreza, 2008) different poster-based events are used to detect the fall of the target.

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