Brain and Human Body Modelling 2021
Language: English
Published by Springer International Publishing, 2022
- Hardcover
- New
Condition: New
£ 42.28
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Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. InhaltsverzeichnisPart 1 Low Frequency Electromagnetic Modeling and Experiment. Tumor Treating Fields1. Nichal Gentilal, Ariel Naveh, Tal Marciano, Zeev Bomzon, Yevgeniy Telepinsky, Yoram Wasserman, and Pedro Cavaleiro Mirand.
Seller Inventory # 668448076
- Title
- Brain and Human Body Modelling 2021
- Publisher
- Springer International Publishing
- Publication year
- 2022
- Condition
- New
- Binding
- Gebunden
- Language
- English
- ISBN 10
- 3031154509
- ISBN 13
- 9783031154508
- Seller catalogs
- Mathematik/Naturwissenschaften/Technik/Medizin
This open access book describes modern applications of computational human modelling to advance neurology, cancer treatment, and radio-frequency studies including regulatory, safety, and wireless communication fields. Readers working on any application that may expose human subjects to electromagnetic radiation will benefit from this book’s coverage of the latest models and techniques available to assess a given technology’s safety and efficacy in a timely and efficient manner.
This is an Open Access book.
"Synopsis" may belong to another edition of this title.
About the Author
Sergey Makarov/Makaroff is a professor of Electrical and Computer Engineering at Worcester Polytechnic Institute, having taught a wide variety of graduate and undergraduate classes and established an active record of academic and research advising. His formal educational background is in applied mathematics and electromagnetics but since moving to WPI in 1998, his research field has been shifted to bioelectromagnetics. Dr. Makarov has published about 150 conference and journal papers, three books, and he holds 8 patents with two other pending. He has received numerous departmental and institute-wide awards for his teaching, advising, and service. Dr. Makarov is also a member of the Research Staff at the Athinoula A. Martinos Center for Biomedical Imaging at Massachusetts General Hospital, conducting investigative studies in non-invasive brain stimulation and neuroimaging technologies.
Gregory Noetscher is a senior research electrical engineer with the US Army at the Combat Capabilities Development Command Soldier Center in Natick, MA, having worked on and coordinated a variety of experimental and simulation projects related to precision guided cargo airdrop beginning in 2003. His research interests since 2009 have also included the construction and application of highly non-homogeneous human body phantoms. Dr. Noetscher also serves as an Adjunct Professor in the Electrical and Computer Engineering Department at Worcester Polytechnic Institute, participating in and directing research on human phantom creation and application. He is a senior member of the IEEE and has published over 70 conference and journal articles, one textbook, and holds three active patents with two pending.
Aapo Nummenmaa, Ph.D., is currently an Assistant Professor of Radiology at Harvard Medical School and the Director of the MGH Martinos Center TMS Core Laboratory. He received M.Sc. degree in Theoretical Physics (Mathematics) from University of Turku and Ph.D. in Cognitive Technology (Computational Engineering) from Helsinki University of Technology (currently a part of Aalto University) with his thesis considering Bayesian approach to the neuromagnetic source localization problem. Dr. Nummenmaa joined the Athinoula A. Martinos Center for Biomedical Imaging as a Post-Doctoral Fellow in 2008 and he received further training in multimodal imaging using MEG/EEG and fMRI, acquisition and analysis of diffusion MRI, and computational modeling of TMS. Dr. Nummenmaa joined the Martinos Center Faculty in 2014 and has since worked on microstructure mapping using diffusion MRI, high-performance computational modeling of TMS/MEG/EEG as well developing integrated multichannel systems for combining TMS with MEG/EEG and MRI.
"About the title" may belong to another edition of this title.
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