Handbook of Large-Scale Distributed Computing in Smart Healthcare [Hardcover]

This volume offers readers various perspectives and visions for cutting-edge research in ubiquitous healthcare. The topics emphasize large-scale architectures and high performance solutions for smart healthcare, healthcare monitoring using large-scale computing techniques, Internet of Things (IoT) and big data analytics for healthcare, Fog Computing, mobile health, large-scale medical data mining, advanced machine learning methods for mining multidimensional sensor data, smart homes, and resource allocation methods for the BANs.

The book contains high quality chapters contributed by leading international researchers working in domains, such as e-Health, pervasive and context-aware computing, cloud, grid, cluster, and big-data computing. We are optimistic that the topics included in this book will provide a multidisciplinary research platform to the researchers, practitioners, and students from biomedical engineering, health informatics, computer science, and computer engineering.

1 Ambient-assisted Living and Large-scale Distributed Computing Systems.- 2 Scalable and Context-aware Remote Health Monitoring Services.- 3 Big data enabled m-Health Applications and Methodologies for Self-management.- 4 M2M Communication Methods and Standards for Large-scale e-Health Systems.- 5 Energy Efficiency and QoS Issues in large-scale Wireless Body Area Networks.- 6 Scalability and Fault Tolerance in Wearable, and Implantable Computing Models for Smart Healthcare.- 7 Trust, Safety, Security, and Privacy in Distributed Body Area Networks Applications.- 8 Remote Activity Recognitions and Monitoring using Wearable Sensors/Smartphones.- 9 Dimension Reduction Methods for Robust Feature Extraction from Human Activities Data.- 10 Connected Health and Healthcare Internet of Things (loT).- 11 Agent-based Epidemic Control Services using Distributed Computing.- 12 Smartphone Based Scalable Rehabilitation Services.- 13 Distributed Computing for Palƒ]