Body Sensor Networks, Second Edition

  • 11h 32m
  • Guang-Zhong Yang (ed)
  • Springer
  • 2014
  • The first and only book covering the foundation, latest development and future directions of body sensor networks
  • Seamless coverage of sensing sensor-embodiment, low-power and practical deployment
  • In depth theoretical details combined with practical insight and considerations for clinical applications

The last decade has witnessed a rapid surge of interests in new sensing and monitoring devices for wellbeing and healthcare. One key development in this area is wireless, wearable and implantable in vivo monitoring and intervention. A myriad of platforms are now available from both academic institutions and commercial organisations. They permit the management of patients with both acute and chronic symptoms, including diabetes, cardiovascular diseases, treatment of epilepsy and other debilitating neurological disorders. Despite extensive developments in sensing technologies, there are significant research issues related to system integration, sensor miniaturisation, low-power sensor interface, wireless telemetry and signal processing.

In the 2nd edition of this popular and authoritative reference on Body Sensor Networks (BSN), major topics related to the latest technological developments and potential clinical applications are discussed, with contents covering

  • Biosensor Design, Interfacing and Nanotechnology
  • Wireless Communication and Network Topologies
  • Communication Protocols and Standards
  • Energy Harvesting and Power Delivery
  • Ultra-low Power Bio-inspired Processing
  • Multi-sensor Fusion and Context Aware Sensing
  • Autonomic Sensing
  • Wearable, Ingestible Sensor Integration and Exemplar Applications
  • System Integration and Wireless Sensor Microsystems

The book also provides a comprehensive review of the current wireless sensor development platforms and a step-by-step guide to developing your own BSN applications through the use of BSN development kit.

About the Editor

Guang-Zhong Yang (PhD, FREng) is Director and Co-founder of the Hamlyn Centre, Deputy Chairman of the Institute of Global Health Innovation, Imperial College London, UK. Professor Yang also holds a number of key academic positions at Imperial College – he is Director and Founder of the Royal Society/Wolfson Medical Image Computing Laboratory, co-founder of the Wolfson Surgical Technology Laboratory, Chairman of the Centre for Pervasive Sensing. He is a Fellow of the Royal Academy of Engineering (RAEng), fellow of IEEE, IET, MICCAI, AIMBE, IAMBE, City of Guilds and a recipient of the Royal Society Research Merit Award and The Times Eureka ‘Top 100’ in British Science.

Professor Yang's main research interests are in medical imaging, sensing and robotics. In imaging, he is credited for a number of novel MR phase contrast velocity imaging and computational modelling techniques that have transformed in vivo blood flow quantification and visualization. These include the development of locally focused imaging combined with real-time navigator echoes for resolving respiratory motion for high-resolution coronary-angiography, as well as MR dynamic flow pressure mapping for which he received the ISMRM I. I. Rabi Award. He pioneered the concept of perceptual docking for robotic control, which represents a paradigm shift of learning and knowledge acquisition of motor and perceptual/cognitive behaviour for robotics, as well as the field of Body Sensor Network (BSN) for providing personalized wireless monitoring platforms that are pervasive, intelligent, and context-aware. Professor Yang is a Distinguished Lecturer for IEEE Engineering in Medicine and Biology Society and Editor-in-Chief, IEEE Journal of Biomedical and Health Informatics.

In this Book

  • Introduction
  • Biosensors and Sensor Systems
  • Biosensor Design with Molecular Engineering and Nanotechnology
  • Wireless Communication
  • Network Topologies, Communication Protocols, and Standards
  • Energy Harvesting and Power Delivery
  • Towards Ultra-Low Power Bio-Inspired Processing
  • Multi-Sensor Fusion
  • Context Aware Sensing
  • Autonomic Sensing
  • Wireless Sensor Microsystem Design—A Practical Perspective
  • Wearable Sensor Integration and Bio-Motion Capture—A Practical Perspective
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