Considering the importance of wireless networks in healthcare, this book is dedicated to studying the innovations and advancements of wireless networks for biomedical application and their impact. This book focuses on a wide range of wireless technologies related to healthcare and biomedical applications which include, among others, body sensor networks, mobile networks, internet of things, mobile cloud computing, pervasive computing and wearable computing. First the authors explain how biomedical applications using wireless technologies are built across networks. The authors also detail 5G spectrum splicing for medical applicatons. They then discuss how wearable computing can be used as activity recognition tools for biomedical applications through remote health monitoring and and remote health risk assessment. Finally the authors provide detailed discussions on security and privacy in wirelessly transmitted medical senor data. This book targets research-oriented and professional readers. It would fit as a recommended supplemental reading for graduate students. It also helps researchers enter the field of wireless biomedical applications.
This book is dedicated to studying the innovations and advancements of wireless networks for biomedical applications. This book focuses on a wide range of wireless technologies including body sensor networks, mobile networks, internet of things, mobile cloud computing, pervasive computing and wearable computing.
Part
1. Introduction.
1. Healthcare 4.0: Technologies and Policies.
2.
Management of collaborative BSN in smart environments.
3. Smart Resource
Allocation for LoRaWAN-based E-Health Applications in Dense Deployments.
4.
Dynamic health assessment in water environments using LPWAN technologies.
5.
Quality of Service Provisioning for Ambulance Tele-medicine in a Slice-based
5G Network.
6. Routing Protocol Algorithms for Single-Body and Multi-Body
Sensor Networks. Part
3. Applications.
7. Towards WBSNs based healthcare
applications: From energy-efficient data collection to fusion.
8. Data
Quality Management for Pervasive Health Monitoring in Body Sensor Networks.
9. Wireless Techniques and Applications of the Internet of Medical Things.
10. Deep Learning for IoT-Healthcare based on Physiological Signals
Jacques Bou Abdo is an Assistant Professor of Cyber Systems at University of Nebraska at Kearney. His main research interests include: Cybersecurity, Blockchain, Recommender Systems, Machine Learning and Network Economics.
Jacques Demerjian is a Full Professor of Computer Science and the Director of LaRRIS (Laboratoire de Recherche en Réseaux, Informatique et Sécurité) research laboratory at the Faculty of Sciences at the Lebanese University. His main research interests include: Body Sensor Network and E-Health Monitoring.
Abdallah Makhoul is a Full Professor of Computer Science at University of Bourgogne - Franche-Comté, France. He is the head the research team OMNI (Optimization, Mobility and NetworkIng). His main research interests include: Distributed Algorithms, Internet of Things, Programmable Matter, E-Health Monitoring and real-time issues in Wireless Sensor Networks.
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