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Informationen zum Autor Robert B. Northrop graduated with a bachelor’s degree in electrical engineering from the Massachusetts Institute of Technology in 1956. At the University of Connecticut (UCONN), he received a master’s degree in systems engineering in 1958. As the result of a long-standing interest in physiology, he entered a PhD program at UCONN in physiology, doing research on the neuromuscular physiology of molluskan catch muscles. He received his PhD in 1964. His current research interest lies in complex systems. Dr. Northrop was on the electrical and computer engineering faculty at UCONN until his retirement in June 1997. Throughout this time, he was director of the BME graduate program. As emeritus professor, he still teaches courses in BME, writes texts, sails, and travels. He lives in Chaplin, CT, with his wife, and a smooth fox terrier. Klappentext The interdisciplinary field of biomedical engineering requires its practitioners to know and master not only engineering skills, but also a diversity of material in the biological sciences. This text helps biomedical engineering students and professionals strengthen their skills in the network of applied mathematics that ties together these diverse disciplines. Based on the author's 30 years of experience in teaching as well as his personal research on neurosensory systems, this book, now in its second edition, provides a ready source of information on the specialized mathematical techniques most useful in describing and analyzing biomedical signals. Zusammenfassung The field of biomedical engineering requires its practitioners to know and master not only engineering skills, but also a diversity of material in the biological sciences. This text helps biomedical engineering students and professionals strengthen their skills in the network of applied mathematics that ties together these diverse disciplines. Inhaltsverzeichnis Introduction to Biomedical Signals and Systems. Review of Linear Systems Theory. The Laplace Transform and Its Applications. Fourier Series Analysis of Periodic Signals. The Continuous Fourier Transform. The Discrete Fourier Transform. Introduction to Joint TimeFrequency Analysis of Biomedical Signals. Introduction to the Analysis of Stationary Noise, and Signals Contaminated with Noise. Basic Mathematical Tools Used in the Characterization of Physiological Systems. Introduction to the Mathematics of Tomographic Imaging. Introduction to the Analysis of Nonlinear Biochemical Systems and Biochemical Oscillators. Introduction to Complex Systems in Biology and Medicine. Glossary. Appendix A. Appendix B. Appendix C. Appendix D. Index. ...
