Modeling and Simulation in Biomedical Engineering: Applications in Cardiorespiratory Physiology

Modeling and Simulation in Biomedical Engineering: Applications in Cardiorespiratory Physiology
Author :
Publisher : McGraw Hill Professional
Total Pages : 217
Release :
ISBN-10 : 9780071714457
ISBN-13 : 0071714456
Rating : 4/5 (456 Downloads)

Book Synopsis Modeling and Simulation in Biomedical Engineering: Applications in Cardiorespiratory Physiology by : Willem van Meurs

Download or read book Modeling and Simulation in Biomedical Engineering: Applications in Cardiorespiratory Physiology written by Willem van Meurs and published by McGraw Hill Professional. This book was released on 2011-07-14 with total page 217 pages. Available in PDF, EPUB and Kindle. Book excerpt: THEORY AND PRACTICE OF MODELING AND SIMULATING HUMAN PHYSIOLOGY Written by a coinventor of the Human Patient Simulator (HPS) and past president of the Society in Europe for Simulation Applied to Medicine (SESAM), Modeling and Simulation in Biomedical Engineering: Applications in Cardiorespiratory Physiology is a compact and consistent introduction to this expanding field. The book divides the modeling and simulation process into five manageable steps--requirements, conceptual models, mathematical models, software implementation, and simulation results and validation. A framework and a basic set of deterministic, continuous-time models for the cardiorespiratory system are provided. This timely resource also addresses advanced topics, including sensitivity analysis and setting model requirements as part of an encompassing simulation and simulator design. Practical examples provide you with the skills to evaluate and adapt existing physiologic models or create new ones for specific applications. Coverage includes: Signals and systems Model requirements Conceptual models Mathematical models Software implementation Simulation results and model validation Cardiorespiratory system model Circulation Respiration Physiologic control Sensitivity analysis of a cardiovascular model Design of model-driven acute care training simulators


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