Smart Home Technologies and Services for Geriatric Rehabilitation

1st Edition - October 18, 2021
Editors: Mohamed-Amine Choukou, Shabbir Syed-Abdul
Language: English
Paperback ISBN:
9 7 8 - 0 - 3 2 3 - 8 5 1 7 3 - 2
eBook ISBN:
9 7 8 - 0 - 3 2 3 - 8 5 1 9 2 - 3

Smart Home Technologies and Services for Geriatric Rehabilitation provides a toolbox for healthcare stakeholders involved in decision-making for the design, development and imple… Read more

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Smart Home Technologies and Services for Geriatric Rehabilitation provides a toolbox for healthcare stakeholders involved in decision-making for the design, development and implementation of smart home solutions. The book provides an in-depth look at the field of smart homes with readers from both research and practice in mind. It addresses the roles and contributions of smart home technologies and services in supporting geriatric rehabilitation and discusses the challenges of current practice and future innovation, especially with wireless technology and 5G advancements.

This reference offers advice on how to implement solutions in the home, and how to framework the modalities of modifying and measuring responses to rehabilitation interventions in geriatric populations. Acceptability, usability and adherence are all considered. Content coverage includes how to navigate policies, regulations, standards and how to build business models. The book's editorial team is multidisciplinary, multisectoral, and from very different regions of the world, thus ensuring a comprehensive scope and global approach.

Cover Image
Title Page
Copyright
Table of Contents
Contributors
List of reviewers
Preface
Acknowledgments
Chapter 1 Geriatric Smart home technology implementation—are we really there?
Abstract
Learning Objectives
1.1 Introduction—geriatric landscape
1.2 Background—aging elders their global distribution
1.3 Necessity for rehabilitation in the elderly
1.4 Introduction to geriatric rehabilitation
1.5 Challenges in geriatric rehabilitation
1.6 Technology acceptance by senior citizens
1.7 Introduction to Smart homes
1.8 Telehealth and telerehabilitation
1.9 Internet and Smart homes
1.10 IoT and Smart homes
1.11 Artificial Intelligence and chatbots in Smart geriatric rehabilitation
1.12 Robots for geriatric rehabilitation
1.13 Deployment of AI and advanced technology in Smart homes
1.14 Influence of COVID-19 on growth of Smart homes and geriatric rehabilitation
1.15 Smart homes and geriatric rehabilitation: a peep into the future
1.16 Conclusions
Acknowledgments
References
Chapter 2 Smart home technology for geriatric rehabilitation and the Internet of Things
Abstract
Learning Objectives
2.1 Introduction
2.2 The IoT and the rehabilitation process
2.3 Technical perspectives on the IoT
2.4 Security and privacy and the IoT
2.5 The development process of IoT-based systems
2.6 Competency needs of developers and users
2.7 IoT-based systems and implications for geriatric rehabilitation
2.8 User perspectives on the IoT
2.9 Evidence of the effectiveness of IoT-based systems
2.10 Current state and future vision of the use of IoT in geriatric rehabilitation
References
Chapter 3 Ageing population supported by ambient-assisted living in the Kingdom of Saudi Arabia
Abstract
Learning Objectives
3.1 Geriatric rehabilitation and ambient-assisted living
3.2 Ageing population
3.3 AgeinginKSA website
3.4 Conclusion
References
Chapter 4 Long-term nursing care at home: challenges and technology-driven solution approaches: the case of German healthcare system
Abstract
Learning Objectives
4.1 Introduction
4.2 Understanding the nursing shortage and long-term care at home
4.3 A Smart home automation technology-supported home care
References
Chapter 5 Telehealth for the geriatric population: uses, opportunities, and challenges
Abstract
Learning Objectives
5.1 Introduction
5.2 Uses of telehealth
5.3 Telehealth benefits and opportunities
5.4 The risks and challenges of using telehealth
5.5 Conclusion
References
Chapter 6 Smart home applications for cognitive health of older adults
Abstract
Learning Objectives
6.1 Introduction
6.2 Relevant issues in SMAs for cognitive health of older adults
6.3 SMAs for cognitive health: study cases
6.4 Conclusions
Acknowledgment
References
Chapter 7 From exergames to immersive virtual reality systems: serious games for supporting older adults
Abstract
Learning Objectives
7.1 Introduction
7.2 Related work
7.3 Design frameworks
7.4 Evaluating serious games for older adults
7.5 Application areas and tools
7.6 Adaptive serious gaming systems
7.7 Challenges and opportunities in VR and exergaming research
7.8 Key areas for future work
7.9 Conclusions
References
Chapter 8 Big Data, Big Data Analytics application to Smart home technologies and services for geriatric rehabilitation
Abstract
Learning Objectives
8.1 Introduction
8.2 AAL and Smart homes
8.3 Big Data
8.4 Big Data Analytics
8.5 Implementation of Big Data Analytics in a Smart home for geriatric rehabilitation
8.6 Conclusions
References
Chapter 9 Conclusion and perspectives
Index

Mohamed-Amine Choukou

Mohamed-Amine Choukou (PhD) is Assistant Professor in the Department of Occupational Therapy, College of Rehabilitation Sciences, University of Manitoba and Adjunct Professor in the Biomedical Engineering Graduate Program. He is Research Affiliate in Riverview Health Centre and the Centre on Aging. Dr. Choukou is also an Associate Researcher in the Quebec Rehabilitation Research Network. He is the founder of the Rehabilitation Technologies Lab of The University of Manitoba where he leads government- and government-private funded research focusing on finding technology-enabled interventions to help older adults live independently with dignity, thereby reducing caregiver burden and improving healthcare allocation and service provision. Dr. Choukou is the author of dozens peer-reviewed articles and proceedings and 7 book chapters, and he presented his research work in more than 50 conferences around the world.

Affiliations and expertise

Assistant Professor, Department of Occupational Therapy, College of Rehabilitation Sciences, University of Manitoba, Canada

Shabbir Syed-Abdul

Shabbir Syed-Abdul MD., PhD: an associate professor at Institute of Biomedical Informatics, Taipei Medical University. He is a leading researcher and a principal investigator at the International Center for Health Information Technology, Taipei, Taiwan. Dr. Shabbir has 15 years experience of research in the domain of Long-term care with Wearable technologies, mHealth, Big data analysis and visualisation, Artificial Intelligence, Personal Health Records, Social Network in healthcare and Hospital Information System. He wants to empower care providers and improve patient participation and engagement. Dr. Shabbir is an editor of the book ‘Participatory Health Through Social Media’ published by Elsevier in 2016. Also, Dr. Shabbir is guest editor for the Journal Sensors since March 2018.

Affiliations and expertise

Graduate Institute of Biomedical Informatics, Taipei Medical University, Taiwan