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Description
Look ahead to the future of surgery--with the first comprehensive robotic surgery reference
Representing a landmark in the medical literature, Robotic Surgery is the first complete robotic surgery sourcebook. In its pages, you'll explore the new frontiers of robotic and remote technologies, which bring us closer to the goal of achieving the benefits of traditional surgery with the least disruption to the normal functions of the human body. The authors take you through the fundamental principles of robotic surgery and provide clear instruction on their clinical application.
FEATURES:
Up-to-date information and advice on how you can integrate robotic surgery into your clinical practice right now! Edited by experts from the Washington Institute of Cardiac and Thoracic Surgery at George Washington University School of Medicine and Hospital, and authored by pioneers in the field of robotics Broad, step-by-step coverage of surgical procedures that spans cardiac, thoracic, general, and urologic surgery, encompassing everything from robot-assisted mitral valve repair to robotic gastric surgery and robotic donor nephrectomy Important focus on how the implementation of robotic surgery principles and procedures leads to improved surgical outcomes Insightful final section that examines the new frontiers of robotic surgery, including the role of robotic surgery during space exploration and the overall future of the specialty
About the Author
Farid Gharagozloo, MD, is surgeon-in-chief at the Washington Institute of Thoracic and Cardiovascular Surgery, chief of clinical cardiothoracic surgery and clinical professor of surgery at the George Washington University Medical Center, chief of thoracic surgery at Harbor Hospital Center in Baltimore, and chief of thoracic oncology at the Northern Virginia Thoracic Oncology Program in Reston.
Farzad Najam, MD, FACS, is associate director of cardiac surgery and assistant clinical professor of surgery at the George Washington University Medical Center in Washington, DC.
Product Details
Hardcover: 436 pages
Publisher: McGraw-Hill
Professional; 1 edition (October 7, 2008)
Language: English
ISBN-10: 007145912X
ISBN-13: 978-0071459129
The Volume II: Micro/Nano Technologies for Genomics and Proteomics presents a wide range of exciting new science and technology, and includes key sections on DNA micro/nanoarrays which additional chapters on peptide arrays for proteomics and drug discovery, new dielectrophoretic cell separation systems and new nanofabrication and integration processes; advanced microfluidic devices for the human genome project (whole genome sequencing); and final section on nanoprobes for imaging and sensing. Over all this volume should be of considerable value for a wide range of multidisciplinary scientists and engineers who are either working in or interested in bionanotechnology and the next generation of micro/nano biomedical and clinical diagnostic devices. Numerous miniaturized DNA micro array, DNA chip, Lab on a Chip and biosensor devices have been developed and commercialized. Such devices are improving the way many important genomic and proteomic analyses are performed in both research and clinical diagnostic laboratories. The development of these technologies was enabled by a synergistic combination of disciplines that include microfabrication, microfluidics, MEMS, organic chemistry and molecular biology. Some of these newdevices and technologies utilize sophisticated microfabrication processes developed by the semiconductor industry.
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Digital Signal Processing (4th Edition) (Hardcover)
Editorial ReviewsProduct Description
A significant revision of a best-selling text for the introductory digital signal processing course. This book presents the fundamentals of discrete-time signals, systems, and modern digital processing and applications for students in electrical engineering, computer engineering, and computer science.The book is suitable for either a one-semester or a two-semester undergraduate level course in discrete systems and digital signal processing. It is also intended for use in a one-semester first-year graduate-level course in digital signal processing.
Product Details
Hardcover: 1004 pages
Publisher: Prentice Hall; 4 edition (April 7, 2006)
Language: English
ISBN-10: 0131873741
ISBN-13: 978-0131873742
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EGBE 340:Recommended Texts:
1.Proakis and Manolakis, Digital Signal Processing, 4th Ed., Prentice-Hall, 2007
2.Ingle and Proakis, Digital Signal Processing Using MATLAB
3.Eugene N. Bruce, Biomedical Signal Processing and Signal Modeling, Wiley-Interscience, 2001
4.Oppenheim and Willsky, Discrete-Time Signal Processing, 2nd Ed.,1999
♥ "Numerical Methods in Biomedical Engineering
"Stanley M.Dunn","2007","AP","TextBook/E Book"
Book Description
Numerical Modeling in Biomedical Engineering brings together the integrative set of computational problem solving tools important to biomedical engineers. Through the use of comprehensive homework exercises, relevant examples and extensive case studies, this book integrates principles and techniques of numerical analysis. Covering biomechanical phenomena and physiologic, cell and molecular systems, this is an essential tool for students and all those studying biomedical transport, biomedical thermodynamics & kinetics and biomechanics. ? Supported by Whitaker Foundation Teaching Materials Program; ABET-oriented pedagogical layout ? MATLAB problem sets and examples available electronically; UNIX, Windows, Mac OS compatible ? Extensive hands-on homework exercises About the Author Stanley Dunn is the Paul S. and Mary W. Monroe Faculty Scholar and Professor of Biomedical Engineering at Rutgers University and Professor of Pediatrics at the Robert Wood Johnson Medical School. In addition, he holds graduate faculty appointments in Computer Science and Electrical and Computer Engineering at Rutgers. He has served as Graduate Program Director, Undergraduate Program Director, and Department Chair in Biomedical Engineering and currently serves as Associate Dean in the School of Engineering. A Fellow of AIMBE, his research interests are in localized tomography, pediatric neuroimaging, inverse problems and subspace projection methods and their application. Alkis Constantinides is a Professor of Chemical and Biochemical Engineering, with nearly forty years of academic and industrial experience. He is the author of the textbook Applied Numerical Methods with Personal Computers and the co-author of the textbook Numerical Methods for Chemical Engineers with MATLAB Applications. Dr. Constantinides has served as Chairman of the Department, Director of the Graduate Program, Director of the Undergraduate Program, and Director of Alumni Relations. He is the recipient of the prestigious Warren I. Susman Award for Excellence in Teaching (1991), and the recipient of the 1998, 1999, 2003, and 2005 Best Teacher of the Year Awards chosen by the Graduating Senior Class of the Department of Chemical and Biochemical Engineering Prabhas Moghe is Associate Professor of Biomedical Engineering and Associate Professor of Chemical and Biochemical Engineering at Rutgers University. In addition, he holds graduate faculty appointment in the Graduate Program in Cell and Developmental Biology at Rutgers/UMDNJ. He has served as Undergraduate Program Director in Biomedical Engineering and currently directs the NSF IGERT Program on Integratively Engineered Biointerfaces at Rutgers. A Fellow of the American Institute of Medical and Biological Engineering (AIMBE) and a recipient of the NSF CAREER Award and several teaching awards at Rutgers, Dr. Moghe has an active research program in the areas of cellular bioengineering; micro- and nano-systems bioengineering; and cell-interactive biomaterials.
Numerical Modeling in Biomedical Engineering brings together the integrative set of computational problem solving tools important to biomedical engineers. Through the use of comprehensive homework exercises, relevant examples and extensive case studies, this book integrates principles and techniques of numerical analysis. Covering biomechanical phenomena and physiologic, cell and molecular systems, this is an essential tool for students and all those studying biomedical transport, biomedical thermodynamics & kinetics and biomechanics.
Supported by Whitaker Foundation Teaching Materials Program; ABET-oriented pedagogical layout
MATLAB problem sets and examples available electronically; UNIX, Windows, Mac OS compatible
Extensive hands-on homework exercises
Edition: illustrated
Academic Press, 2006
ISBN 0121860310, 9780121860318
615 หน้า
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♥ "Numerical Methods for Engineers, 5Ed
"S.C.Chapra and R.P.Canle","2007","McGraw-Hill","TextBook"
The fifth edition of "Numerical Methods for Engineers continues its tradition of excellence. Instructors love this text because it is a comprehensive text that is easy to teach from. Students love it because it is written for them--with great pedagogy and clear explanations and examples throughout. The text features a broad array of applications, including all engineering disciplines. The revision retains the successful pedagogy of the prior editions. Chapra and Canale's unique approach opens each part of the text with sections called Motivation, Mathematical Background, and Orientation, preparing the student for what is to come in a motivating and engaging manner. Each part closes with an Epilogue containing sections called Trade-Offs, Important Relationships and Formulas, and Advanced Methods and Additional References. Much more than a summary, the Epilogue deepens understanding of what has been learned and provides a peek into more advanced methods. Users will find use of software packages, specifically MATLAB and Excel with VBA. This includes material on developing MATLAB m-files and VBA macros. Approximately 80% of the problems are new or revised for this edition. The expanded breadth of engineering disciplines covered is especially evident in the problems, which now cover such areas as biotechnology and biomedical engineering.
Book Discription
Numerical Methods for Engineers By Steven C. Chapra, Raymond P. Canale Edition: 5, illustrated, revised McGraw-Hill Higher Education, 2005