The study of nonlinearities in physiology has been hindered by the lack of effective ways to obtain nonlinear dynamic models from stimulus-response data in a practical context. A considerable body of knowledge has accumulated over the last thirty years in this area of research. This book summarizes that progress, and details the most recent methodologies that offer practical solutions to this daunting problem. Implementation and application are discussed, and examples are provided using both synthetic and actual experimental data.
This essential study of nonlinearities in physiology apprises researchers and students of the latest findings and techniques in the field.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
Vasilis Z. Marmarelis, PhD, received his diploma in electrical and mechanical engineering from the National Technical University of Athens and his MS in information science and PhD in engineering science (bio-information systems) from the California Institute of Technology. He is currently a professor in the faculty of the Biomedical and Electrical Engineering Departments at USC, where he served as chairman of Biomedical Engineering from 1990 to 1996. He is also Codirector of the Biomedical Simulations Resource (BMSR), a research center dedicated to modeling and simulation of physiological systems and funded by the National Institutes of Health through multimillion-dollar grants since 1985.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
Vendeur : ThriftBooks-Atlanta, AUSTELL, GA, Etats-Unis
Hardcover. Etat : Good. No Jacket. Missing dust jacket; Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less. N° de réf. du vendeur G0471469602I3N01
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Tapa dura. Etat : Nuevo. Ejemplar nuevo. A practical approach to obtaining nonlinear dynamic models from stimulus-response data. Nonlinear modeling of physiological systems from stimulus-response data is a long-standing problem that has substancial implications for many scientific fields and associated technologies. These disciplines include biomedical engineering, signal processing, neural networks, medical imaging, and robotics and automation. Addresing the needs of a broad spectrum of scientific and engineering researchers, this book presents practicable, yet mathematically rigorous methodologies for constructing dynamic models of physiological systems. N° de réf. du vendeur 30579
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Etat : New. A considerable body of knowledge has grown in the search for effective ways to obtain nonlinear dynamic models from stimulus-response data in a practical context. This book summarizes some 30 years of research progress in that arena, and details the most recent methodologies that offer practical solutions to this daunting problem. Series: IEEE Press Series on Biomedical Engineering. Num Pages: 542 pages, Illustrations. BIC Classification: TJ. Category: (P) Professional & Vocational. Dimension: 254 x 186 x 31. Weight in Grams: 1162. . 2004. 1st Edition. Hardcover. . . . . N° de réf. du vendeur V9780471469605
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Vendeur : Books Puddle, New York, NY, Etats-Unis
Etat : New. pp. xvi + 541 Index. N° de réf. du vendeur 26369770
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Vendeur : Kennys Bookstore, Olney, MD, Etats-Unis
Etat : New. A considerable body of knowledge has grown in the search for effective ways to obtain nonlinear dynamic models from stimulus-response data in a practical context. This book summarizes some 30 years of research progress in that arena, and details the most recent methodologies that offer practical solutions to this daunting problem. Series: IEEE Press Series on Biomedical Engineering. Num Pages: 542 pages, Illustrations. BIC Classification: TJ. Category: (P) Professional & Vocational. Dimension: 254 x 186 x 31. Weight in Grams: 1162. . 2004. 1st Edition. Hardcover. . . . . Books ship from the US and Ireland. N° de réf. du vendeur V9780471469605
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