Academic Press Library in Biomedical Applications of Mobile and Wireless Communications: Wireless Uwb Body Area Networks: Using the Ieee802.15.4-2011

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.

Lorenzo Mucchi is an assistant professor at the Dept. of Information Engineering of the University of Florence, Italy, where he teaches Information Technologies. Lorenzo's main research areas include theoretical modelling, algorithms design and real measurements, mainly focused in the following fields: ultra wideband signals, localization and tracking, interference/channel modelling, intrinsic wireless security, adaptive diversity techniques and wireless healthcare. Lorenzo is senior member of the Institute of Electrical and Electronics Engineers (IEEE) and permanent member of the International Association of Science and Technology for Development (IASTED) Technical Committee on Telecommunications. All details are available at: http://lenst.det.unifi.it/~mucchi/