8 Best Books on Physiological Modeling

We have compiled a list of the Best Reference Books on Physiological Modeling, which are used by students of top universities, and colleges. This will help you choose the right book depending on if you are a beginner or an expert. Here is the complete list of Physiological Modeling Books with their authors, publishers, and an unbiased review of them as well as links to the Amazon website to directly purchase them. If permissible, you can also download the free PDF books on Physiological Modeling below.

1."A Porous Media Approach for Physiological Modeling" by Izadifar Mohammad “A Porous Media Approach for Physiological Modeling” Book Review: This book discusses the application of porous media concepts for modeling hepatic drug elimination, including the use of liver as a model. Additionally, it covers topics such as local volume averaging, physiological-based methods, pharmacokinetics, and pathophysiological events. Professionals, students, and scientists who are interested in using mechanistic modeling to analyze PK processes or pathophysiological events in the body will find this book useful.
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2."Modeling of Physiological Flows" by Davide Ambrosi and Alfio Quarteroni “Modeling of Physiological Flows” Book Review: This book provides updated information on the mathematical and numerical methods used in circulatory systems. It covers topics such as mathematical representation of vascular geometries extracted from medical images, blood rheology modeling, and the complex multilayer structure of vascular tissue. Furthermore, the book explores the mechanical and chemical interactions between blood and vascular walls, as well as the different scales that combine local and systemic dynamics. This book is aimed at students pursuing bioengineering, applied mathematics, and medicine.
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3."Nonlinear Dynamic Modeling of Physiological Systems (IEEE Press Series on Biomedical Engineering)" by Professor Vasilis Z Marmarelis “Nonlinear Dynamic Modeling of Physiological Systems (IEEE Press Series on Biomedical Engineering)” Book Review: This book is an essential resource for biomedical engineering students and researchers. The book covers various topics related to the modeling of physiological systems using nonlinear dynamics. It explores concepts such as nonlinear dynamics, system identification, and model validation. The chapters delve into specific physiological systems, including the cardiovascular, respiratory, and nervous systems. The book also discusses modeling techniques for feedback control, parameter estimation, and prediction of physiological responses. With its clear explanations and practical examples, this book serves as a comprehensive guide for understanding and modeling complex physiological systems.
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4."Advanced Methods of Physiological System Modeling: Volume 2" by V Z Marmarelis “Advanced Methods of Physiological System Modeling: Volume 2” Book Review: This book covers the latest developments in physiological systems modeling and analysis for biomedical problems. It discusses effective and practical methodologies for addressing nonlinear dynamics in life sciences. Professionals interested in advanced methods of physiological system modeling will benefit from this book.
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5."Signals and Systems in Biomedical Engineering: Signal Processing and Physiological Systems Modeling" by Suresh R Devasahayam “Signals and Systems in Biomedical Engineering: Signal Processing and Physiological Systems Modeling” Book Review: The book introduces readers to physiological systems by discussing signal measurement, acquisition, and processing, as well as linear systems modeling and computer simulations. Furthermore, it covers detailed models of nerves and muscles at the cellular level to help readers understand real-world issues such as neuromuscular disease. The book includes numerous mathematical problems and requires supplementary graphs and analogies. It also provides a link to extra downloadable materials. This book is suitable for those learning about signal processing and physiological systems modeling.
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6."The Artificial Kidney: Physiological Modeling and Tissue Engineering (Tissue Engineering Intelligence Unit 3)" by John Leypoldt “The Artificial Kidney: Physiological Modeling and Tissue Engineering (Tissue Engineering Intelligence Unit 3)” Book Review: This book is a compilation of six papers on topics such as removal of fluid and urea during hemodialysis, transport kinetics during peritoneal dialysis, the bioartificial renal tubule, a tissue engineering approach to percutaneous access for peritoneal dialysis, and genetic modification of the peritoneal membrane in tissue engineering in the peritoneal cavity. The book includes real-world applications through the results of the papers. It is suitable for those learning about physiological modeling and tissue engineering for the artificial kidney. advertisement advertisement
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7."Advanced Methods of Physiological System Modeling: Volume 3" by V Z Marmarelis “Advanced Methods of Physiological System Modeling: Volume 3” Book Review: This book covers nonlinear modeling of physiological systems, experimental basis for I/O model, computational methods of neuronal network decomposition, M-sequence technique, neural information processing, nonlinear model of sensory adaptation, identification of nonlinear system, and multiple-input nonlinear systems. Additionally, it explains nonlinear system identification of hippocampal neurons, parametric and nonparametric nonlinear modeling, identification of parametric, equivalence between nonlinear differential and difference equation models using kernel invariance methods, and more. This book is recommended for those studying advanced methods of physiological system modeling.
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8."Signals and Systems in Biomedical Engineering: Signal Processing and Physiological Systems Modeling (Topics in Biomedical Engineering)" by Suresh R Devasahayam “Signals and Systems in Biomedical Engineering: Signal Processing and Physiological Systems Modeling (Topics in Biomedical Engineering)” Book Review: This book is divided into two parts: signal processing techniques for linear systems and physiological modeling. The book covers signals and systems, digital signal processing techniques, Fourier and wavelet transforms, and optimal filtering techniques. It provides illustrative examples and exercises in convolution, sampling, Fourier analysis, and wavelet decomposition, as well as numerous numerical simulation exercises. The book requires a knowledge of mathematics and is suitable for those learning about signals and systems in biomedical engineering.
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