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Ambient Assisted Living
About this book
The rapid advances in technology have revolutionized healthcare and assisted living, and given rise to Ambient Assisted Living (AAL). As healthcare is transitioning from healthcare 4.0 to healthcare 5.0, the integration of AI, IoT, Blockchain, 5G, and Fog Computing is enabling innovative solutions for personalized care, remote monitoring, and intelligent decision-making.
This book delves into cutting-edge AAL technologies, including AI-driven gait analysis for diagnosing and classifying disorders like Parkinson's disease, assistive robotics to enhance daily living, and Blockchain-based token incentive systems for transparency and engagement. It also explores AI-powered diet management for diabetes patients, NLP applications in clinical decision-making, and large language models for healthcare analytics. The book highlights GAN-based solutions for emergency staffing and resilient scheduling, demonstrating AI's role in optimizing healthcare operations. The book also examines multisensory rooms for engaging children with disabilities, emphasizing inclusive technology design. Ethical concerns in AAL, ensuring that innovation aligns with societal values and patient dignity are also addressed. With insights into practical applications, challenges, and future directions, the book serves as a guide for researchers, practitioners, and policymakers, offering a comprehensive vision of how technology can revolutionize healthcare and empower individuals.
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Information
Table of contents
- Cover Page
- Series Page
- Title Page
- Copyright Page
- Preface
- Acknowledgment
- Contents
- List of Contributors
- Chapter 1 Future Aspects of Assisted Living in the Transition from Healthcare 4.0 to Healthcare 5.0
- Chapter 2 Cloud-Based Intelligent Remote Healthcare for Ambient Living Using Internet of Medical Things (IoMT)
- Chapter 3 Fog Computing and loT-Based Smart Communication Architecture for Ambient Assisted Living
- Chapter 4 Machine-Learning-Driven Gait Analysis and Motion Detection for Parkinsonās Disease Classification
- Chapter 5 AI for Disease Management, Medication Management, and Rehabilitation Care
- Chapter 6 AI for Assistive Robots
- Chapter 7 5G Technology in Assisted Living: Revolutionizing Healthcare and Enhancing Quality of Life
- Chapter 8 Enhancing Ambient Assisted Living with Blockchain and Token Incentives
- Chapter 9 Diet Management for Diabetes Patients Using Al
- Chapter 10 Large Language Models, Large Visual Models, and Big Data for Assisted Living in Healthcare 5.0
- Chapter 11 Personalized Healthcare Services for Assisted Living in Healthcare 5.0
- Chapter 12 Revolutionizing Clinical Decision-Making: The Role of NLP in Modern Healthcare
- Chapter 13 Sentiment Analysis and Well- Being for Assisted Living in Healthcare 5.0
- Chapter 14 Enhanced Language Support for Diversified DoctorāPatient Communication
- Chapter 15 Optimizing Emergency Staffing Under Uncertainty: GAN-Driven Scheduling with Resilient Elephant Clan Optimization
- Chapter 16 Technology in Disability Support: A Case Study of Teachers' Initial Experience of Using Multisensory Rooms to Engage Children with Disability in Learning
- Chapter 17 Ethical Consideration in Assisted Living Technology in Healthcare
- Index
- About the Editors