Academic Press Library in Biomedical Applications of Mobile and Wireless Communications: Wireless UWB Body Area Networks

Wireless sensor and body area networks (WSN and WBAN respectively) have been seen as a future way to monitor humans' psycho-physiological signs remotely. There are a number of standards that could be used for building WBAN sytems. However, wireless UWB networks based on IEEE 802.15.4a offer the advantages of a large frequency range and low power spectral density, making it suitable for both WSNs and WBANs used for medical applications. The technology has matured sufficiently that it can be used to develop products for the marketplace. This book presents how the IEEE802.15.4-2011 (former IEEE802.15.4a) can be used in wireless body area networks (WBAN) for healthcare and welfare related applications. It gives a short overview on the IEEE802.15.4 family and then gives details of IEEE802.15.4-2011 based solutions.

• Presents how the IEEE802.15.4-2011 (former IEEE802.15.4a) can be used in wireless body area networks (WBAN) for healthcare and welfare related applications.
• Gives a short overview on the IEEE802.15.4 family.
• Gives details of IEEE802.15.4-2011 based solutions.

Auteur

Dr. Hämäläinen is Professor of Radiology at Massachusetts General hospital and Director of Magnetoencephalography (MEG) Core at Athinoula A. Martinos Center for Biomedical Imaging at MGH. He is one of the pioneers in the application of MEG in conjunction with other non-invasive functional and anatomical imaging methods to study human brain function. He has had a crucial role in developing whole-head MEG instrumentation, analytical methods and tools, as well as experimental protocols, which have together paved the way for MEG becoming an important basic research and clinical tool worldwide.
In 1993 he was the co-author of a seminal review article on MEG in Reviews of Modern Physics, now with more than 4000 citations. His current research interests include further development of anatomically-constrained MEG/EEG source estimation methods, including sparse and temporally continuous approaches, combination of non-invasive and invasive electromagnetic source imaging with hemodynamic measures, MEG/EEG studies of early brain development in infants, and adapting and extending MEG/EEG analysis methods to be applicable in real time in clinical neurophysiology studies.

Contenu

1. Introduction 2. IEEE802.15.4 standard family 3. Applications 4. IEEE802.15.4a based WBAN 4.1 IEEE802.15.4a IR-UWB properties 4.2 Different receiver structures for IEEE802.15.4a/IEEE802.15.4-2011 4.3 Energy efficiency 5. WBAN channel modeling 5.1 IEEE802.15.4a standard channel model 5.2 Hospital WBAN channel model 5.3 Other channel model impacts 6. Performance analysis for different receiver structures 7. Conclusion 8. References 9. Appreviations