The Handbook of Neural Engineering provides the theoretical foundations and current applications from the leading researchers in this emerging new field. It focuses on the brain-computer interface, nano-neural engineering, neural prostheses, imaging the brain, neural signal processing, the brain and neurons.
A systematic overview of the quickly developing field of bioengineering--with state-of-the-art modeling software!Computational Modeling and Simulation Examples in Bioengineering provides a comprehensive introduction to the emerging field of bioengineering. It provides the theoretical background necessary to simulating pathological conditions in the bones, muscles, cardiovascular tissue, and cancers, as well as lung and vertigo disease. The methodological approaches used for simulations include the finite element, dissipative particle dynamics, and lattice Boltzman. The text includes access to a state-of-the-art software package for simulating the theoretical problems. In this way, the book enhances the reader's learning capabilities in the field of biomedical engineering.The aim of this book is to provide concrete examples of applied modeling in biomedical engineering. Examples in a wide range of areas equip the reader with a foundation of knowledge regarding which problems can be modeled with which numerical methods. With more practical examples and more online software support than any competing text, this book organizes the field of computational bioengineering into an accessible and thorough introduction. Computational Modeling and Simulation Examples in Bioengineering:* Includes a state-of-the-art software package enabling readers to engage in hands-on modeling of the examples in the book* Provides a background on continuum and discrete modeling, along with equations and derivations for three key numerical methods* Considers examples in the modeling of bones, skeletal muscles, cartilage, tissue engineering, blood flow, plaque, and more* Explores stent deployment modeling as well as stent design and optimization techniques* Generates different examples of fracture fixation with respect to the advantages in medical practice applicationsComputational Modeling and Simulation Examples in Bioengineering is an excellent textbook for students of bioengineering, as well as a support for basic and clinical research. Medical doctors and other clinical professionals will also benefit from this resource and guide to the latest modeling techniques.
A guide to key control principles and how they are used to characterize a variety of physiological mechanisms The second edition of Physiological Control Systems offers an updated and comprehensive resource that reviews the fundamental concepts of classical control theory and how engineering methodology can be applied to obtain a quantitative understanding of physiological systems. The revised text also contains more advanced topics that feature applications of linear and nonlinear dynamic analyses to physiology, parameter estimation methods, and adaptive estimation and control. The author--a noted expert in the field--includes a wealth of worked examples that illustrate key concepts and methodology and offers in-depth analyses of selected physiological control models that highlight the topics presented. The author discusses the most noteworthy developments in system identification, optimal control, and nonlinear dynamical analysis and targets recent bioengineering advances. Designed to be a practical resource, the text includes guided experiments with simulation models (using Simulink/Matlab). Physiological Control Systems focuses on basic control principles that can be used to characterize a broad variety of physiological mechanisms. This revised resource: Offers new sections that explore identification of nonlinear and time-varying systems, and provide the background for understanding the link between continuous-time and discrete-time dynamic models Presents helpful, hands-on experimentation with computer simulation models Contains fully updated problems and exercises at the end of each chapter Written for biomedical engineering students and biomedical scientists, Physiological Control Systems covers classical control theory and its application to physiological systems. It also contains contemporary topics and methodologies that shape bioengineering research today.
Addresses recent advances from both the clinical and technological perspectives to provide a comprehensive presentation of m-Health This book introduces the concept of m-Health, first coined by Robert S.H. Istepanian in 2003.
Reflects on developments in noninvasive electromyography, and includes advances and applications in signal detection, processing, and interpretation The book presents a quantitative approach to the study and use of noninvasively detected electromyographic (EMG) signals, as well as their numerous applications in various aspects of the life sciences. Surface Electromyography: Physiology, Engineering, and Applications is an update of Electromyography: Physiology, Engineering, and Noninvasive Applications (Wiley-IEEE Press, 2004) and focuses on the developments that have taken place over the last decade. The first nine chapters deal with the generation, detection, understanding, interpretation, and modeling of EMG signals. Detection technology, with particular focus on EMG imaging techniques that are based on two-dimensional electrode arrays are also included in the first half of the book. The latter 11 chapters deal with applications, which range from monitoring muscle fatigue, electrically elicited contractions, posture analysis, prevention of work-related and child-delivery-related neuromuscular disorders, ergonomics, movement analysis, physical therapy, exercise physiology, and prosthesis control. Addresses EMG imaging technology together with the issue of decomposition of surface EMG Includes advanced single and multi-channel techniques for information extraction from surface EMG signals Presents the analysis and information extraction of surface EMG at various scales, from motor units to the concept of muscle synergies. The book is aimed primarily to biomedical engineers, rehabilitation physicians, and movement scientists. However, it may be appreciated by neurophysiologists, and physical and occupational therapists with a background in physics, engineering, and signal processing.
Covering a progressive medical field, Tissue Engineering describes the innovative process of regenerating human cells to restore or establish normal function in defective organs.
A must-have compendium on biomedical telemetry for all biomedical professional engineers, researchers, and graduate students in the field Handbook of Biomedical Telemetry describes the main components of a typical biomedical telemetry system, as well as its technical challenges.
This book grew out of the IEEE-EMBS Summer Schools on Biomedical Signal Processing, which have been held annually since 2002 to provide the participants state-of-the-art knowledge on emerging areas in biomedical engineering.
The last two decades have witnessed revolutionary progress in medical imaging and computerized medical image processing. This unique book describes complex medical imaging modalities in simple terms and explains medical image analysis methods that are useful in research and clinical application.
This much-needed reference informs readers about an important area of bioengineering, covering linear system identification and nonlinear systems needed to describe physiological processes. * Significant advances have been made in the field since the previous classic texts were written. This text brings the available knowledge up to date.
A considerable body of knowledge has grown in the search for effective ways to obtain nonlinear dynamic models from stimulus-response data in a practical context. This book summarizes some 30 years of research progress in that arena, and details the most recent methodologies that offer practical solutions to this daunting problem.
Neural engineering is a discipline that uses engineering techniques to understand, repair, replace, enhance, or treat diseases of neural systems. Currently, no book other than this one covers this broad range of topics within motor rehabilitation technology.
Genomics and Proteomics Engineering in Medicine and Biology highlights current applications of biomedical informatics, as well as advancements in genomics-proteomics areas. Structures and algorithms are used to analyze genomic data and develop computational solutions for pathological understanding.
Electromyography presents a clear, comprehensive, complete overview of Electromyography. It provides the basic physiological and engineering concepts necessary to properly detect, understand, process and interpret EMG signals using non--invasive electrodes.
Biomedical/Electrical Engineering Principles of Magnetic Resonance Imaging A Signal Processing Perspective A volume in the IEEE Press Series in Biomedical EngineeringMetin Akay. Series Editor Since its inception in 1971. MRI has developed into a premier tool for anatomical and functional imaging. Principles of Magnetic Resonance Imaging provides a clear and comprehensive treatment of MR image formation principles from a signal processing perspective. You will find discussion of these essential topics: Mathematical fundamentals Signal generation and detection principles Signal characteristics Signal localization principles Image reconstruction techniques Image contrast mechanisms Image resolution, noise, and artifacts Fast-scan imaging Constrained reconstruction Spatial information encoding Principles of Magnetic Resonance Imaging contains a comprehensive set or examples and homework problems. This textbook will provide students of biomedical engineering, biophysics, chemistry, electrical engineering, and radiology with a systematic, in-depth understanding of MRI principles.
"Brimming with top articles from experts in signal processing and biomedical engineering, Time-Frequency and Wavelets in Biomedical Signal Processing introduces time-frequency, time-scale, wavelet transform methods, and their applications in biomedical signal processing. This edited volume incorporates the most recent developments in the field to illustrate thoroughly how the use of these time-frequency methods is currently improving the quality of medical diagnosis, including technologies for assessing pulmonary and respiratory conditions, EEGs, hearing aids, MRIs, mammograms, X rays, evoked potential signals analysis, neural networks applications, among other topics. Time-Frequency and Wavelets in Biomedical Signal Processing will be of particular interest to signal processing engineers, biomedical engineers, and medical researchers. For more information on the IEEE Press Series in Biomedical Engineering edited by Metin Akay, go to http: //www.caip.rutgers.edu/7Eakay/book/"
Biomedical / Electrical Engineering Nonlinear Biomedical Signal Processing Volume II: Dynamic Analysis and Modeling A volume in the IEEE Press Series on Biomedical Engineering Metin Akay, Series 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(r) 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.
Using examples drawn from biomedicine and biomedical engineering, this essential reference book brings you comprehensive coverage of all the major techniques currently available to build computerΓÇôassisted decision support systems. You will find practical solutions for biomedicine based on current theory and applications of neural networks, artificial intelligence, and other methods for the development of decision aids, including hybrid systems. Neural Networks and Artificial Intelligence for Biomedical Engineering offers students and scientists of biomedical engineering, biomedical informatics, and medical artificial intelligence a deeper understanding of the powerful techniques now in use with a wide range of biomedical applications. Highlighted topics include: Types of neural networks and neural network algorithms Knowledge representation, knowledge acquisition, and reasoning methodologies Chaotic analysis of biomedical time series Genetic algorithms ProbabilityΓÇôbased systems and fuzzy systems Evaluation and validation of decision support aids
Many medical applications could benefit from system theory, if only instrumentation designers understood systems theory and signal processing academics had a better understanding of practical medical applications. This book bridges those gaps in a practical manner, with suggestions for coursework included.
This book deals with the PDM-based modeling approach and how it will improve diagnostic procedures. Throughout the book, the author presents and applies this modeling approach on a wide range of medical issues. This approach shows how mathematical models can be critically important in the neurophysiological and biological fields. The book also compares this approach to existing alternative approaches.
Written by esteemed experts in the field, Models and Algorithms for Biomolecules and Molecular Networks provides readers with a global perspectives on the relevant biological phenomena, modeling frameworks, technical challenges, and algorithms.
This book focuses on the latest advances in stem cells and tissue engineering using micro and nanotechnologies.
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