Internet of Things for Healthcare Using Effects of Mobile Computing: A Systematic Literature Review

Nazir, Shah; Ali, Yasir; Ullah, Naeem; García‐Magariño, Iván

doi:10.1155/2019/5931315

Cited by 128 publications

(60 citation statements)

References 86 publications

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“…9 Mobile computing in the form of mobile health (m-health) can also increase the efficiency of a healthcare system by involving various services, applications, third party APIs, and mobile sensors not otherwise used for health-related purposes. 15 Safety and Health Monitoring Applications such as wearable IoT enables real-time health monitoring and would be beneficial for improving global health.…”

Section: Due In Part To the Rapid Growth Of The Chinese Economy Andmentioning

confidence: 99%

Defending against the Novel Coronavirus (COVID-19) outbreak: How can the Internet of Things (IoT) help to save the world?

Rahman

Peeri

Shrestha

et al. 2020

Health Policy and Technology

136

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Section: Due In Part To the Rapid Growth Of The Chinese Economy Andmentioning

confidence: 99%

Defending against the Novel Coronavirus (COVID-19) outbreak: How can the Internet of Things (IoT) help to save the world?

Rahman

Peeri

Shrestha

et al. 2020

Health Policy and Technology

136

View full text Add to dashboard Cite

“…Smart-Homes, considered as an implementation of Ambient Intelligence to homes, have been applied to several different scenarios related to the quality of life, but also in the context with therapeutic applications, providing a significant potential concerning the diffusion of intelligent objects and innovative services [9][10][11][12]. The monitoring of activities of daily life is one of the leading technical challenges in the field [13][14][15].…”

Section: B Smart-homementioning

confidence: 99%

“…From a therapeutic perspective, Smart-Homes could provide new methods for innovative treatments for people with different kinds of neurological disorders, [9] reviewed 116 studies that confirm this premise. The distribution of publications per year ( Figure 10 of the cited work) shows how the amount of studies in this field has increased over the last five years.…”

Section: B Smart-homementioning

confidence: 99%

Smart-Home Environment to Support Homework Activities for Children

et al. 2020

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The Central Nervous System of humans continuously evolves when children engage in new activities. These activities are progressing from learning to eat as a baby over playing during childhood up to homework in all its dimensions. These activities, which are meaningful and relevant to everyone, constitute what occupational therapists call "occupations". The successful execution of these occupations makes the development of new roles as well as the construction of a correct state of health possible. Due to these reasons, occupational performance is a fundamental part of development throughout childhood. Homework is complex and extends beyond the school context to the home. For many children, the performance of these homework items is a difficult challenge or even impossible to overcome without the help of an adult. This article presents the design, implementation, and functional validation of an intelligent home environment that uses homework activities as a support tool for children with or without attention disabilities. In this project, the Internet of Things (IoT) paradigm is combined with the development of robotic assistance to implement an intelligent home environment. In this environment, we have included intelligent things (where the usual study chairs and desks become smart objects) that determine in real-time the child's behavior during the development of homework and a robotic assistant which interacts with the children providing the necessary accompaniment (supervision and guidelines) just as a therapist would do. This development has been functionally validated by tests on several school-aged children without pathologies. In a later phase of the study, the proposal will be validated with children with different pathologies with an impact on learning, including Attention Disorder Hyperactivity Disorder (ADHD). The goal is the generation of intelligent places for therapeutic purposes within the home as assistance for children having difficulties to work with their homework assignment due to ADHD.

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“…Calculate degree to the possibility in a situation where m 1 , u 1 ), and it is defined as equations (8) to (10).…”

Section: Phase Ii: Fuzzy Analytic Hierarchy Processmentioning

confidence: 99%

“…e job of IoT turns out to be increasingly prevailing when it is bolstered by the highlights of mobile computing [7]. is thing broadens the usefulness of IoT in the medical environment by getting tremendous help in the type of mobile health [8].…”

Section: Introductionmentioning

confidence: 99%

Evaluation of the Challenges in the Internet of Medical Things with Multicriteria Decision Making (AHP and TOPSIS) to Overcome Its Obstruction under Fuzzy Environment

Tariq

Mian

Sohail

et al. 2020

Mobile Information Systems

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The exponential speed of advancement of innovation has expanded the needs of all users to avail all their information on the Internet 24/7. The Internet of things (IoT) enables smart objects to develop a significant building block in the development of the pervasive framework. The messaging between objects with one another means the least work and least expense for the enterprise. The industry that intends to implement the Internet of medical things (IoMT) in its organizations is still facing difficulties. Recognition and solving of these challenges are a time-consuming task and also need significant expenses if not adequately evaluated and prioritized. The application of the Internet of things is covered in almost every area, including medical/healthcare. In this research, the authors investigated the factors dealing with the Internet of medical things. The outcome of this study is to prioritize the level of significance of the elements causing these challenges, evaluated through fuzzy logic and multicriteria decision-making (MCDM) techniques like Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) and Analytic Hierarchy Process (AHP). It would be beneficial for enterprises to save time and revenue. The main criteria, as well as subcriteria, were determined after due consultation with the Internet of medical things experts. In this study, our goals are to figure out which criteria/factors create hurdles in the adoption of the Internet of medical things. Through the investigation, we figured out 20 criteria ought to be given more importance/preference by the industry that is in the transition phase of the Internet of medical things adoption. The enterprise, with the help of this study, will be enabled to accelerate that adoption by limiting time and fiscal misfortune.

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Internet of Things for Healthcare Using Effects of Mobile Computing: A Systematic Literature Review

Cited by 128 publications

References 86 publications

Defending against the Novel Coronavirus (COVID-19) outbreak: How can the Internet of Things (IoT) help to save the world?

Defending against the Novel Coronavirus (COVID-19) outbreak: How can the Internet of Things (IoT) help to save the world?

Smart-Home Environment to Support Homework Activities for Children

Evaluation of the Challenges in the Internet of Medical Things with Multicriteria Decision Making (AHP and TOPSIS) to Overcome Its Obstruction under Fuzzy Environment

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