Download or read book Healthcare Paradigms in the Internet of Things Ecosystem written by Valentina Emilia Balas and published by Academic Press. This book was released on 2020-11-07 with total page 412 pages. Available in PDF, EPUB and Kindle. Book excerpt: Health Care Paradigms in the Internet of Things Ecosystem brings all IoT-enabled health care related technologies into a single platform so that undergraduate and postgraduate students, researchers, academicians and industry leaders can easily understand IoT-based healthcare systems. The book uses data and network engineering and intelligent decision support system-by-design principles to design a reliable IoT-enabled health care ecosystem and to implement cyber-physical pervasive infrastructure solutions. It takes the reader on a journey that begins with understanding the healthcare monitoring paradigm in IoT-enabled technologies and how it can be applied in various aspects. In addition, the book walks readers through real-time challenges and presents a guide on how to build a safe infrastructure for IoT-based health care. It also helps researchers and practitioners understand the e-health care architecture through IoT and the state-of-the-art in IoT countermeasures. Readers will find this to be a comprehensive discussion on functional frameworks for IoT-based healthcare systems, intelligent medicine, RFID technology, HMI, Cognitive Interpretation, Brain-Computer Interface, Remote Health Monitoring systems, wearable sensors, WBAN, and security and privacy issues in IoT-based health care monitoring systems. - Presents the complete functional framework workflow in IoT-enabled healthcare technologies - Explains concepts of location-aware protocols and decisive mobility in IoT healthcare - Provides complete coverage of intelligent data processing and wearable sensor technologies in IoT-enabled healthcare - Explores the Human Machine Interface and its implications in patient-care systems in IoT healthcare - Explores security and privacy issues and challenges related to data-intensive technologies in healthcare-based Internet of Things