Concepts and methodologies initially developed in physics have been finding high applicability in many different areas. This work, a result of cross-disciplinary interaction among physicists, biologists and physicians, covers several topics where methods and approaches rooted in physics are successf
Modelling Biomedical Signals
โ Scribed by Giuseppe Nardulli, Sebastiano Stramaglia
- Publisher
- World Scientific Publishing Company
- Year
- 2002
- Tongue
- English
- Leaves
- 293
- Edition
- 1st
- Category
- Library
No coin nor oath required. For personal study only.
โฆ Synopsis
Proceedings of the conference held September 19-21, 2001 in Bari, Italy. This book, a result of cross-disciplinary interaction among physicists biologists and physicians, covers several topics where methods and approaches rooted in physics are successfully applied to analyze and to model biomedical data.
๐ SIMILAR VOLUMES
A biomedical engineering perspective on the theory, methods, and applications of signal processing. This book provides a unique framework for understanding signal processing of biomedical signals and what it tells us about signal sources and their behavior in response to perturbation. Using a modeli
Featuring current contributions by experts in signal processing and biomedical engineering, this book introduces the concepts, recent advances, and implementations of nonlinear dynamic analysis methods. Together with Volume I in this series, this book provides comprehensive coverage of nonlinear sig
<p>The use of digital signal processing is ubiquitous in the field of physiology and biomedical engineering. The application of such mathematical and computational tools requires a formal or explicit understanding of physiology. Formal models and analytical techniques are interlinked in physiology a
<p><p></p><p>Physiology is a set of processes that maintain homeostasis, and physiological measurement is a means of observing these processes. Systems theory and signal processing offer formal tools for the study of processes and measured quantities. </p><p>This book shows that systems modeling can