Introduction to Modeling in Physiology and Medicine

Other | February 1, 2008

byCobelli, Claudio, Claudio Cobelli

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This unified modeling textbook for students of biomedical engineering provides a complete course text on the foundations, theory and practice of modeling and simulation in physiology and medicine. It is dedicated to the needs of biomedical engineering and clinical students, supported by applied BME applications and examples.

• Developed for biomedical engineering and related courses: speaks to BME students at a level and in a language appropriate to their needs, with an interdisciplinary clinical/engineering approach, quantitative basis, and many applied examples to enhance learning
• Delivers a quantitative approach to modeling and also covers simulation: the perfect foundation text for studies across BME and medicine
• Extensive case studies and engineering applications from BME, plus end-of-chapter exercises and a separate Instructor's manual

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From the Publisher

This unified modeling textbook for students of biomedical engineering provides a complete course text on the foundations, theory and practice of modeling and simulation in physiology and medicine. It is dedicated to the needs of biomedical engineering and clinical students, supported by applied BME applications and examples.• Developed...

Carson and Cobelli are leaders in the field of physiological modelling, with extensive research experience and publication track records. They also have extensive experience teaching this material to a range of levels for both technical and clinical audiences.

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Format:OtherDimensions:328 pages, 1 × 1 × 1 inPublished:February 1, 2008Publisher:Academic PressLanguage:English

The following ISBNs are associated with this title:

ISBN - 10:0080559980

ISBN - 13:9780080559988

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Table of Contents

Introduction; 2 Physiological Complexity and the Need for Models; 3 - Models and the Modeling Process; 4 - Modeling the Data; 5 - Modeling the System; 6 - Model Identification; 7 - Parametric Models - The Identifiability Problem; 8 - Parametric Models - The Estimation Problem; 9 - Non-parametric Models - Signal Estimation; 10 - Model Validation; 11 - Case Studies