Conferences related to Cardiovascular Engineering

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2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

The conference program will consist of plenary lectures, symposia, workshops and invited sessions of the latest significant findings and developments in all the major fields of biomedical engineering. Submitted papers will be peer reviewed. Accepted high quality papers will be presented in oral and poster sessions, will appear in the Conference Proceedings and will be indexed in PubMed/MEDLINE.

  • 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

    The conference will cover diverse topics ranging from biomedical engineering to healthcare technologies to medical and clinical applications. The conference program will consist of invited plenary lectures, symposia, workshops, invited sessions and oral and poster sessions of unsolicited contributions. All papers will be peer reviewed and accepted papers of up to 4 pages will appear in the Conference Proceedings and be indexed by IEEE Xplore and Medline/PubMed.

  • 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

    The conference program will consist of plenary lectures, symposia, workshops and invited sessions of the latest significant findings and developments in all the major fields of biomedical engineering. Submitted papers will be peer reviewed. Accepted high quality papers will be presented in oral and poster sessions, will appear in the Conference Proceedings and will be indexed in PubMed/MEDLINE.

  • 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

    The Annual International Conference of the IEEE Engineering in Medicine and Biology Society covers a broad spectrum of topics from biomedical engineering and physics to medical and clinical applications. The conference program will consist of invited plenary lectures, symposia, workshops, invited sessions, oral and poster sessions of unsolicited contributions. All papers will be peer reviewed and accepted papers of up to 4 pages will appear in the Conference Proceedings and be indexed by PubMed and EI. Prop

  • 2012 34th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

    The annual conference of EMBS averages 2000 attendees from over 50 countries. The scope of the conference is general in nature to focus on the interdisciplinary fields of biomedical engineering. Themes included but not limited to are: Imaging, Biosignals, Biorobotics, Bioinstrumentation, Neural, Rehabilitation, Bioinformatics, Healthcare IT, Medical Devices, etc

  • 2011 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

    The annual conference of EMBS averages 2000 attendees from over 50 countries. The scope of the conference is general in nature to focus on the interdisciplinary fields of biomedical engineering. Themes included but not limited to are: Imaging, Biosignals, Biorobotics, Bioinstrumentation, Neural, Rehabilitation, Bioinformatics, Healthcare IT, Medical Devices, etc.

  • 2010 32nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

    The annual conference of EMBS averages 2000 attendees from over 50 countries. The scope of the conference is general in nature to focus on the interdisciplinary fields of biomedical engineering. Themes included but not limited to are: Imaging, Biosignals, Biorobotics, Bioinstrumentation, Neural, Rehabilitation, Bioinformatics, Healthcare IT, Medical Devices, etc

  • 2009 31st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

    The annual conference of EMBS averages 2000 attendees from over 50 countries. The scope of the conference is general in nature to focus on the interdisciplinary fields of biomedical engineering. Themes included but not limited to are: Imaging, Biosignals, Biorobotics, Bioinstrumentation, Neural, Rehabilitation, Bioinformatics, Healthcare IT, Medical Devices, etc

  • 2008 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

    The general theme of EMBC'08 is "Personalized Healthcare through Technology", covering a broad spectrum of topics from biomedical and clinical engineering and physics to medical and clinical applications. Transfer of research results from academia to industry will also be a focus of the conference.


2012 6th International Conference on Bioinformatics and Biomedical Engineering (iCBBE)

Bioinformatics, Computational Biology, Biomedical Engineering


2007 IEEE Dallas Engineering in Medicine and Biology Workshop (DEMBS)

The workshop will provide a forum for and welcomes original technical papers on the engineering applications towards advancement of life and health science systems.



Periodicals related to Cardiovascular Engineering

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Biomedical Engineering, IEEE Reviews in

The IEEE Reviews in Biomedical Engineering will review the state-of-the-art and trends in the emerging field of biomedical engineering. This includes scholarly works, ranging from historic and modern development in biomedical engineering to the life sciences and medicine enabled by technologies covered by the various IEEE societies.


Biomedical Engineering, IEEE Transactions on

Broad coverage of concepts and methods of the physical and engineering sciences applied in biology and medicine, ranging from formalized mathematical theory through experimental science and technological development to practical clinical applications.


Engineering in Medicine and Biology Magazine, IEEE

Both general and technical articles on current technologies and methods used in biomedical and clinical engineering; societal implications of medical technologies; current news items; book reviews; patent descriptions; and correspondence. Special interest departments, students, law, clinical engineering, ethics, new products, society news, historical features and government.


Spectrum, IEEE

IEEE Spectrum Magazine, the flagship publication of the IEEE, explores the development, applications and implications of new technologies. It anticipates trends in engineering, science, and technology, and provides a forum for understanding, discussion and leadership in these areas. IEEE Spectrum is the world's leading engineering and scientific magazine. Read by over 300,000 engineers worldwide, Spectrum provides international coverage of all ...




Xplore Articles related to Cardiovascular Engineering

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FPGA design and implementation of Electrocardiogram biomedical embedded system

Nur Sabrina Risman; Siti Norhayati Md Yassin; Chen Wei Sia; Yuan Wen Hau; Nazrul Anuar Nayan 2014 IEEE Conference on Biomedical Engineering and Sciences (IECBES), 2014

This paper presents a FPGA design and implementation of Electrocardiogram (ECG) biomedical embedded system (ECG-SoC). It performs ECG pre-processing and heart rate variability (HRV) feature extraction which suitable for remote homecare monitoring and rural health care application. The ECG-SoC is designed using hardware/software co-design technique based on offline dataset from MIT- BIH database. Altera Cyclone II DE2-115 FPGA platform was ...


Guide to fuzzy logic based transesophageal echocardiography motorized probe control

Christina Pahl; Eko Supriyanto 2015 20th International Conference on Methods and Models in Automation and Robotics (MMAR), 2015

There exists growing demand for the improvement of Transesophageal Echocardiography probe control. In order to provide remote control, a Fuzzy Logic based approach is presented. Preliminary results based on MATLAB2014a enclose the simulation of desired motor behavior of 2 Dynamixel MX-28 which actuate ultrasound probe movements. We conclude that the Fuzzy Logic toolbox is highly applicable for simulating Transesophageal Echocardiography ...


Infrared based clinical landmark determination for ultrasound image acquisition

Christina Pahl; Eko Supriyanto 2015 38th International Conference on Telecommunications and Signal Processing (TSP), 2015

A system that determines the correct position of the umbilicus enables the automatic ultrasound diagnosis of the human abdomen. The customization of the diagnosis procedure using personalized scanning is important when it comes to more precise and predictable medical treatment. The setup used here is based on a combination of three linear motors controlled by an ATmega328 microcontroller using real-time ...


Comparative study of electrocardiogram QRS complex detection algorithm on Field Programmable Gate Array platform

Amin Hashim; Chia Yee Ooi; Rabia Bakhteri; Yuan Wen Hau 2014 IEEE Conference on Biomedical Engineering and Sciences (IECBES), 2014

Nowadays, many people suffer from heart problems and hence the demand of inexpensive and efficient electrocardiogram (ECG) for frequent heart monitoring is becoming crucial. To make the ECG device portable, cost- effective and light-weight, an alternative of deploying an ECG system is on Field Programmable Gate Array (FPGA). It is also important to choose suitable algorithm that optimize in terms ...


Cardiac Force and Muscle Shortening in Regional Ischemia: Asynchronization and Possible Uncoupling

J. K. -J. Li; G. Drzewiecki; Ying Zhu; Xiaoming Guan; J. Kedem 2005 IEEE Engineering in Medicine and Biology 27th Annual Conference, 2005

Acute myocardial ischemia affects both cardiac muscle force development and shortening in the affected regions. The exact mechanisms are unclear. We investigated myocardial function during ischemia and reperfusion both experimentally and with a muscle fiber model. The model was subjected to perturbations in contractility and force activation. Results show that the cardiac muscle model reflects many of the physiological changes ...


More Xplore Articles

Educational Resources on Cardiovascular Engineering

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eLearning

FPGA design and implementation of Electrocardiogram biomedical embedded system

Nur Sabrina Risman; Siti Norhayati Md Yassin; Chen Wei Sia; Yuan Wen Hau; Nazrul Anuar Nayan 2014 IEEE Conference on Biomedical Engineering and Sciences (IECBES), 2014

This paper presents a FPGA design and implementation of Electrocardiogram (ECG) biomedical embedded system (ECG-SoC). It performs ECG pre-processing and heart rate variability (HRV) feature extraction which suitable for remote homecare monitoring and rural health care application. The ECG-SoC is designed using hardware/software co-design technique based on offline dataset from MIT- BIH database. Altera Cyclone II DE2-115 FPGA platform was ...


Guide to fuzzy logic based transesophageal echocardiography motorized probe control

Christina Pahl; Eko Supriyanto 2015 20th International Conference on Methods and Models in Automation and Robotics (MMAR), 2015

There exists growing demand for the improvement of Transesophageal Echocardiography probe control. In order to provide remote control, a Fuzzy Logic based approach is presented. Preliminary results based on MATLAB2014a enclose the simulation of desired motor behavior of 2 Dynamixel MX-28 which actuate ultrasound probe movements. We conclude that the Fuzzy Logic toolbox is highly applicable for simulating Transesophageal Echocardiography ...


Infrared based clinical landmark determination for ultrasound image acquisition

Christina Pahl; Eko Supriyanto 2015 38th International Conference on Telecommunications and Signal Processing (TSP), 2015

A system that determines the correct position of the umbilicus enables the automatic ultrasound diagnosis of the human abdomen. The customization of the diagnosis procedure using personalized scanning is important when it comes to more precise and predictable medical treatment. The setup used here is based on a combination of three linear motors controlled by an ATmega328 microcontroller using real-time ...


Comparative study of electrocardiogram QRS complex detection algorithm on Field Programmable Gate Array platform

Amin Hashim; Chia Yee Ooi; Rabia Bakhteri; Yuan Wen Hau 2014 IEEE Conference on Biomedical Engineering and Sciences (IECBES), 2014

Nowadays, many people suffer from heart problems and hence the demand of inexpensive and efficient electrocardiogram (ECG) for frequent heart monitoring is becoming crucial. To make the ECG device portable, cost- effective and light-weight, an alternative of deploying an ECG system is on Field Programmable Gate Array (FPGA). It is also important to choose suitable algorithm that optimize in terms ...


Cardiac Force and Muscle Shortening in Regional Ischemia: Asynchronization and Possible Uncoupling

J. K. -J. Li; G. Drzewiecki; Ying Zhu; Xiaoming Guan; J. Kedem 2005 IEEE Engineering in Medicine and Biology 27th Annual Conference, 2005

Acute myocardial ischemia affects both cardiac muscle force development and shortening in the affected regions. The exact mechanisms are unclear. We investigated myocardial function during ischemia and reperfusion both experimentally and with a muscle fiber model. The model was subjected to perturbations in contractility and force activation. Results show that the cardiac muscle model reflects many of the physiological changes ...


More eLearning Resources

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IEEE-USA E-Books

  • No title

    Intended as an introduction to the field of biomedical engineering, this book covers the topics of biomechanics (Part I) and bioelectricity (Part II). Each chapter emphasizes a fundamental principle or law, such as Darcy's Law, Poiseuille's Law, Hooke's Law, Starling's Law, levers, and work in the area of fluid, solid, and cardiovascular biomechanics. In addition, electrical laws and analysis tools are introduced, including Ohm's Law, Kirchhoff's Laws, Coulomb's Law, capacitors, and the fluid/electrical analogy. Culminating the electrical portion are chapters covering Nernst and membrane potentials and Fourier transforms. Examples are solved throughout the book and problems with answers are given at the end of each chapter. A semester-long Major Project that models the human systemic cardiovascular system, utilizing both a Matlab numerical simulation and an electrical analog circuit, ties many of the book's concepts together. Table of Contents: Ohm's Law: Current, Voltage and Resistance / Kirchhoff's Voltage and Current Laws: Circuit Analysis / Operational Amplifiers / Coulomb's Law, Capacitors and the Fluid/Electrical Analogy / Series and Parallel Combinations / Thevenin Equivalent Circuits / Nernst Potential: Cell Membrane Equivalent Circuit / Fourier Transforms: Alternating Currents (AC)

  • No title

    Intended as an introduction to the field of biomedical engineering, this book covers the topics of biomechanics (Part I) and bioelectricity (Part II). Each chapter emphasizes a fundamental principle or law, such as Darcy's Law, Poiseuille's Law, Hooke's Law, Starling's Law, levers, and work in the area of fluid, solid, and cardiovascular biomechanics. In addition, electrical laws and analysis tools are introduced, including Ohm's Law, Kirchhoff's Laws, Coulomb's Law, capacitors, and the fluid/electrical analogy. Culminating the electrical portion are chapters covering Nernst and membrane potentials and Fourier transforms. Examples are solved throughout the book and problems with answers are given at the end of each chapter. A semester-long Major Project that models the human systemic cardiovascular system, utilizing both a Matlab numerical simulation and an electrical analog circuit, ties many of the book's concepts together.

  • No title

    Cardiac tissue engineering aims at repairing damaged heart muscle and producing human cardiac tissues for application in drug toxicity studies. This book offers a comprehensive overview of the cardiac tissue engineering strategies, including presenting and discussing the various concepts in use, research directions and applications. Essential basic information on the major components in cardiac tissue engineering, namely cell sources and biomaterials, is firstly presented to the readers, followed by a detailed description of their implementation in different strategies, broadly divided to cellular and acellular ones. In cellular approaches, the biomaterials are used to increase cell retention after implantation or as scaffolds when bioengineering the cardiac patch, in vitro. In acellular approaches, the biomaterials are used as ECM replacement for damaged cardiac ECM after MI, or, in combination with growth factors, the biomaterials assume an additional function as a depot for prolong d factor activity for the effective recruitment of repairing cells. The book also presents technological innovations aimed to improve the quality of the cardiac patches, such as bioreactor applications, stimulation patterns and prevascularization. This book could be of interest not only from an educational perspective (i.e. for graduate students), but also for researchers and medical professionals, to offer them fresh views on novel and powerful treatment strategies. We hope that the reader will find a broad spectrum of ideas and possibilities described in this book both interesting and convincing. Table of Contents: Introduction / The Heart: Structure, Cardiovascular Diseases, and Regeneration / Cell Sources for Cardiac Tissue Engineering / Biomaterials: Polymers, Scaffolds, and Basic Design Criteria / Biomaterials as Vehicles for Stem Cell Delivery and Retention in the Infarct / Bioengineering of Cardiac Patches, In Vitro / Perfusion Bioreactors and Stimulation Patterns in Cardiac T ssue Engineering / Vascularization of Cardiac Patches / Acellular Biomaterials for Cardiac Repair / Biomaterial-based Controlled Delivery of Bioactive Molecules for Myocardial Regeneration

  • Appendix IV: Stationarity, Ergodicity, and Autocorrelation Functions of Random Processes

    A practical approach to obtaining nonlinear dynamic models from stimulus- response data Nonlinear modeling of physiological systems from stimulus-response data is a long-standing problem that has substantial implications for many scientific fields and associated technologies. These disciplines include biomedical engineering, signal processing, neural networks, medical imaging, and robotics and automation. Addressing the needs of a broad spectrum of scientific and engineering researchers, this book presents practicable, yet mathematically rigorous methodologies for constructing dynamic models of physiological systems. Nonlinear Dynamic Modeling of Physiological Systems provides the most comprehensive treatment of the subject to date. Starting with the mathematical background upon which these methodologies are built, the book presents the methodologies that have been developed and used over the past thirty years. The text discusses implementation and computational issues and gives il ustrative examples using both synthetic and experimental data. The author discusses the various modeling approaches–nonparametric, including the Volterra and Wiener models; parametric; modular; and connectionist–and clearly identifies their comparative advantages and disadvantages along with the key criteria that must guide successful practical application. Selected applications covered include neural and sensory systems, cardiovascular and renal systems, and endocrine and metabolic systems. This lucid and comprehensive text is a valuable reference and guide for the community of scientists and engineers who wish to develop and apply the skills of nonlinear modeling to physiological systems.

  • Index

    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 signal and image processing techniques. Nonlinear Biomedical Signal Processing: Volume II combines analytical and biological expertise in the original mathematical simulation and modeling of physiological systems. Detailed discussions of the analysis of steady-state and dynamic systems, discrete-time system theory, and discrete modeling of continuous-time systems are provided. Biomedical examples include the analysis of the respiratory control system, the dynamics of cardiac muscle and the cardiorespiratory function, and neural firing patterns in auditory and vision systems. Examples include relevant MATLAB® and Pascal programs. Topics covered include: Nonlinear dynamics Behavior and estimation Modeling of biomedical signals and systems Heart rate variability measures, models, and signal assessments Origin of chaos in cardiovascular and gastric myoelectrical activity Measurement of spatio-temporal dynamics of human epileptic seizures A valuable reference book for medical researchers, medical faculty, and advanced graduate students, it is also essential reading for practicing biomedical engineers. Nonlinear Biomedical Signal Processing, Volume II is an excellent companion to Dr. Akay's Nonlinear Biomedical Signal Processing, Volume I: Fuzzy Logic, Neural Networks, and New Algorithms.

  • References

    A practical approach to obtaining nonlinear dynamic models from stimulus- response data Nonlinear modeling of physiological systems from stimulus-response data is a long-standing problem that has substantial implications for many scientific fields and associated technologies. These disciplines include biomedical engineering, signal processing, neural networks, medical imaging, and robotics and automation. Addressing the needs of a broad spectrum of scientific and engineering researchers, this book presents practicable, yet mathematically rigorous methodologies for constructing dynamic models of physiological systems. Nonlinear Dynamic Modeling of Physiological Systems provides the most comprehensive treatment of the subject to date. Starting with the mathematical background upon which these methodologies are built, the book presents the methodologies that have been developed and used over the past thirty years. The text discusses implementation and computational issues and gives il ustrative examples using both synthetic and experimental data. The author discusses the various modeling approaches–nonparametric, including the Volterra and Wiener models; parametric; modular; and connectionist–and clearly identifies their comparative advantages and disadvantages along with the key criteria that must guide successful practical application. Selected applications covered include neural and sensory systems, cardiovascular and renal systems, and endocrine and metabolic systems. This lucid and comprehensive text is a valuable reference and guide for the community of scientists and engineers who wish to develop and apply the skills of nonlinear modeling to physiological systems.

  • About the Editor

    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 signal and image processing techniques. Nonlinear Biomedical Signal Processing: Volume II combines analytical and biological expertise in the original mathematical simulation and modeling of physiological systems. Detailed discussions of the analysis of steady-state and dynamic systems, discrete-time system theory, and discrete modeling of continuous-time systems are provided. Biomedical examples include the analysis of the respiratory control system, the dynamics of cardiac muscle and the cardiorespiratory function, and neural firing patterns in auditory and vision systems. Examples include relevant MATLAB® and Pascal programs. Topics covered include: Nonlinear dynamics Behavior and estimation Modeling of biomedical signals and systems Heart rate variability measures, models, and signal assessments Origin of chaos in cardiovascular and gastric myoelectrical activity Measurement of spatio-temporal dynamics of human epileptic seizures A valuable reference book for medical researchers, medical faculty, and advanced graduate students, it is also essential reading for practicing biomedical engineers. Nonlinear Biomedical Signal Processing, Volume II is an excellent companion to Dr. Akay's Nonlinear Biomedical Signal Processing, Volume I: Fuzzy Logic, Neural Networks, and New Algorithms.

  • No title

    Dental caries, periodontitis, tooth loss, and bone resorption are considered prevalent health problems that have direct affect on the quality of life. While, advances in stem cell biology and biotechnology have sparked hope for devastating maladies, such as diabetes, cardiovascular diseases, etc., it also provides a strategy of regenerative therapy for dental tissues. From the prospective of tissue engineering, it is of utmost importance to understand and emulate the complex cell interactions that make up a tissue or organ. Unlike other tissues in the body, dental tissues are unique in their development, function, and even in their maintenance throughout life. The harmonized stimulations of biology and mechanical regulators to promote cellular activities have matured our understanding of the value of regenerative therapy of dental tissue versus the reparative treatment. In this book, we review the current knowledge available to regenerate alveolar bone, periodontal structure, and pulp dentin complex. The book provides researchers with detailed information about development and functional characteristics of the dental unit with detailed protocols covering a comprehensive range of various approaches to engineer dental tissues: to use isolated cells or cell substitutes as cellular replacement, to use acellular biomaterials capable of inducing tissue regeneration, and/or to use a combination of cells, biomaterial and growth factors. We are well aware, with the concept changes in the field toward in-vitro biomimetics of in-vivo tissue development. The theoretical frame work integrating these concepts of developmental biology and developmental engineering is yet to be emphasized and implemented. Until this happens, we consider this book of regenerative dentistry as a call for scientists to achieve, researchers to innovate, practitioners to apply, and students to learn the art and science of regenerative therapy in dentistry. Table of Contents: Introduction to Regenerativ Dentistry / Tissue Engineering Alveolar Bone / Tissue Engineering of the Periodontal Tissues / Dynamics for Pulp-Dentin Tissue Engineering in Operative Dentistry

  • Appendix III: Construction of the Wiener Series

    A practical approach to obtaining nonlinear dynamic models from stimulus- response data Nonlinear modeling of physiological systems from stimulus-response data is a long-standing problem that has substantial implications for many scientific fields and associated technologies. These disciplines include biomedical engineering, signal processing, neural networks, medical imaging, and robotics and automation. Addressing the needs of a broad spectrum of scientific and engineering researchers, this book presents practicable, yet mathematically rigorous methodologies for constructing dynamic models of physiological systems. Nonlinear Dynamic Modeling of Physiological Systems provides the most comprehensive treatment of the subject to date. Starting with the mathematical background upon which these methodologies are built, the book presents the methodologies that have been developed and used over the past thirty years. The text discusses implementation and computational issues and gives il ustrative examples using both synthetic and experimental data. The author discusses the various modeling approaches–nonparametric, including the Volterra and Wiener models; parametric; modular; and connectionist–and clearly identifies their comparative advantages and disadvantages along with the key criteria that must guide successful practical application. Selected applications covered include neural and sensory systems, cardiovascular and renal systems, and endocrine and metabolic systems. This lucid and comprehensive text is a valuable reference and guide for the community of scientists and engineers who wish to develop and apply the skills of nonlinear modeling to physiological systems.

  • Index

    A practical approach to obtaining nonlinear dynamic models from stimulus- response data Nonlinear modeling of physiological systems from stimulus-response data is a long-standing problem that has substantial implications for many scientific fields and associated technologies. These disciplines include biomedical engineering, signal processing, neural networks, medical imaging, and robotics and automation. Addressing the needs of a broad spectrum of scientific and engineering researchers, this book presents practicable, yet mathematically rigorous methodologies for constructing dynamic models of physiological systems. Nonlinear Dynamic Modeling of Physiological Systems provides the most comprehensive treatment of the subject to date. Starting with the mathematical background upon which these methodologies are built, the book presents the methodologies that have been developed and used over the past thirty years. The text discusses implementation and computational issues and gives il ustrative examples using both synthetic and experimental data. The author discusses the various modeling approaches–nonparametric, including the Volterra and Wiener models; parametric; modular; and connectionist–and clearly identifies their comparative advantages and disadvantages along with the key criteria that must guide successful practical application. Selected applications covered include neural and sensory systems, cardiovascular and renal systems, and endocrine and metabolic systems. This lucid and comprehensive text is a valuable reference and guide for the community of scientists and engineers who wish to develop and apply the skills of nonlinear modeling to physiological systems.



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