IoT for Elderly, Aging and eHealth: Quality of Life and Independent Living for the Elderly (Lecture Notes on Data Engineering and Communications Technologies)

This book reflects the recent developments while providing a comprehensive introduction to the Internet of things (IoT) and cloud technologies in transforming aging. IoT has its origins in device connectivity, whereas the cloud grew out of computer science. They can be viewed as two facets of the same field, and together they have undergone substantial development over the past ten years. This book is aimed at advanced undergraduates or first-year research students, as well as researchers and practitioners, and assumes no previous knowledge of IoT and cloud concepts. Basics of computer applications and concepts are required. Some familiarity with gerontechnology would be helpful, though not essential, as this book includes a self-contained introduction to how technology is transforming elderly care and eHealth management. This book aims to give references that offer more detail than is possible here and hopefully provide an entry point into a series of technologies that can improve the quality of life for the elderly. The book includes several case studies explaining how each piece of technology works and its benefits to the elderly. This book is also considered as a simple guide to the technologies for the elderly to use in the community. Foreword Preface Acknowledgments Contents About the Authors List of Figures List of Tables 1 Introduction References 2 The Vision of the Healthcare Industry for Supporting the Aging Population 2.1 Healthcare Needs of the Ageing People 2.2 Elderly Healthcare System 2.2.1 Short-Term Healthcare Service 2.2.2 Long-Term Healthcare Service 2.3 Conclusion References 3 Building Long-Term Care Services Around the World 3.1 Introduction 3.2 Ageing Policies in Taiwan 3.3 Ageing Policies in Hong Kong 3.4 Ageing Policies in Japan 3.5 Ageing Policies in the United States 3.6 Conclusion References 4 IOT and Cloud Computing for Development of Systems for Elderly and eHealth 4.1 Integration of IoT Technologies and Cloud Computing in Health Monitoring 4.1.1 IoT Technologies and Cloud Computing in Health Monitoring 4.1.2 Application of Remote Health Monitoring 4.1.3 Benefits of Remote Health Monitoring 4.2 Health Information Management System and eHealth 4.2.1 Health Information System 4.2.2 eHealth 4.3 Challenges for Health Information System and eHealth 4.4 Conclusion References 5 New Generation of Healthcare Services Based on Internet of Medical Things, Edge and Cloud Computing Infrastructures 5.1 Introduction 5.2 Related Work, Internet of Medical Things and Stream Processing Engines 5.2.1 Offloading Computation from Cloud to Edge 5.2.2 The Intelligent Edge 5.2.3 Design of Wearables 5.2.4 Semantic Edge 5.2.5 Stream Processing Engines 5.3 A Generic Type Architecture of Healthcare Applications Based on IoMT, Edge and Cloud Computing 5.3.1 Sensing Layer 5.3.2 Pre-processing Layer 5.3.3 Cluster/Fog Processing Layer 5.3.4 Persistence Layer 5.3.5 Application Layer 5.4 IoMT Data Stream Processing for Anomaly Detection with Application to Heart Diseases and Real Data Sets 5.4.1 Hierarchical Temporal Memory Algorithm (HTM) 5.4.2 REALDISP Dataset 5.5 Conclusions and Prospects References 6 Artificial Intelligence and Data Mining Techniques for the Well-Being of Elderly 6.1 Introduction 6.2 Artificial Intelligence Techniques 6.2.1 Fuzzy Logic 6.2.2 Case-Based Reasoning 6.2.3 Genetic Algorithm 6.2.4 Analytic Hierarchy Process (AHP) 6.3 Data Mining Techniques 6.3.1 Clustering 6.3.2 Classification 6.3.3 Association Rule Mining 6.4 Conclusions References 7 Domesticating Homecare Services 7.1 Introduction 7.2 Research Methodology of Domesticating Homecare Services 7.2.1 Front-End Homecare Service Request Module 7.2.2 Back-End Homecare Service Planning Module 7.3 Case Study in a Local Domestic Homecare Service Center 7.3.1 Data Extraction and Data Processing 7.3.2 Development of the Genetic Algorithm Model for Work Plan Scheduling 7.4 Results and Discussion 7.5 Conclusions References 8 Case Study in Fall Prevention in Indoor Environments 8.1 Introduction 8.2 Research Methodology 8.2.1 Data Collection and Consultation Module 8.2.2 Balance Board Development Module 8.2.3 Health Platform Development Module 8.3 Case Study 8.3.1 Test 8.3.2 Training and Rehabilitation 8.3.3 Scores 8.4 Discussion 8.5 Conclusion References 9 Case Study in Elderly Consultancy Services 9.1 Introduction 9.2 Research Methodology 9.2.1 Cloud-Based Data Collection Module 9.2.2 Care Solution Generation Module 9.2.3 Solution Evaluation Module 9.3 Case Study 9.3.1 Problems in the Case Company 9.3.2 Implementation of the Proposed ICPS in the Case Company 9.4 Results and Discussion 9.4.1 Improvement in the Efficiency of Care Plan Formulation 9.4.2 Performance in Feedback Collection 9.4.3 Improvement in Service Satisfaction 9.5 Conclusion References 10 Case Study in Remote Diagnosis 10.1 Introduction 10.2 IoT Based Healthcare Platform 10.3 Case Study 10.4 Discussion 10.5 Conclusion References Conclusions and Future Directions of Research Acronyms and Glossary