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Author : John Semmlow
Publisher : Academic Press
Page : 605 pages
File Size : 47,8 Mb
Release : 2012
Category : Science
ISBN : 9780123849823
Rev. ed. of.: Circuits, signals, and systems for bioengineers / John Semmlow. c2005.
Author : John Semmlow
Publisher : Academic Press
Page : 784 pages
File Size : 52,8 Mb
Release : 2017-12-07
Category : Technology & Engineering
ISBN : 9780128096260
Circuits, Signals and Systems for Bioengineers: A MATLAB-Based Introduction, Third Edition, guides the reader through the electrical engineering principles that can be applied to biological systems. It details the basic engineering concepts that underlie biomedical systems, medical devices, biocontrol and biomedical signal analysis, providing a solid foundation for students in important bioengineering concepts. Fully revised and updated to better meet the needs of instructors and students, the third edition introduces and develops concepts through computational methods that allow students to explore operations, such as correlations, convolution, the Fourier transform and the transfer function. New chapters have been added on image analysis, noise, stochastic processes and ergodicity, and new medical examples and applications are included throughout the text. Covers current applications in biocontrol, with examples from physiological systems modeling, such as the respiratory system Includes revised material throughout, with improved clarity of presentation and more biological, physiological and medical examples and applications Includes a new chapter on noise, stochastic processes, non-stationary and ergodicity Includes a separate new chapter featuring expanded coverage of image analysis Includes support materials, such as solutions, lecture slides, MATLAB data and functions needed to solve the problems
Author : Suresh R. Devasahayam
Publisher : Springer Science & Business Media
Page : 348 pages
File Size : 53,9 Mb
Release : 2012-12-06
Category : Technology & Engineering
ISBN : 9781461542995
In the past few years Biomedical Engineering has received a great deal of attention as one of the emerging technologies in the last decade and for years to come, as witnessed by the many books, conferences, and their proceedings. Media attention, due to the applications-oriented advances in Biomedical Engineering, has also increased. Much of the excitement comes from the fact that technology is rapidly changing and new technological adventures become available and feasible every day. For many years the physical sciences contributed to medicine in the form of expertise in radiology and slow but steady contributions to other more diverse fields, such as computers in surgery and diagnosis, neurology, cardiology, vision and visual prosthesis, audition and hearing aids, artificial limbs, biomechanics, and biomaterials. The list goes on. It is therefore hard for a person unfamiliar with a subject to separate the substance from the hype. Many of the applications of Biomedical Engineering are rather complex and difficult to understand even by the not so novice in the field. Much of the hardware and software tools available are either too simplistic to be useful or too complicated to be understood and applied. In addition, the lack of a common language between engineers and computer scientists and their counterparts in the medical profession, sometimes becomes a barrier to progress.
Author : Robert B. Northrop
Publisher : CRC Press
Page : 566 pages
File Size : 45,6 Mb
Release : 2003-12-29
Category : Medical
ISBN : 9780203492734
This book introduces the basic mathematical tools used to describe noise and its propagation through linear systems and provides a basic description of the improvement of signal-to-noise ratio by signal averaging and linear filtering. The text also demonstrates how op amps are the keystone of modern analog signal conditioning systems design, and il
Author : Wim van Drongelen
Publisher : Elsevier
Page : 320 pages
File Size : 40,6 Mb
Release : 2006-12-18
Category : Science
ISBN : 008046775X
Signal Processing for Neuroscientists introduces analysis techniques primarily aimed at neuroscientists and biomedical engineering students with a reasonable but modest background in mathematics, physics, and computer programming. The focus of this text is on what can be considered the ‘golden trio’ in the signal processing field: averaging, Fourier analysis, and filtering. Techniques such as convolution, correlation, coherence, and wavelet analysis are considered in the context of time and frequency domain analysis. The whole spectrum of signal analysis is covered, ranging from data acquisition to data processing; and from the mathematical background of the analysis to the practical application of processing algorithms. Overall, the approach to the mathematics is informal with a focus on basic understanding of the methods and their interrelationships rather than detailed proofs or derivations. One of the principle goals is to provide the reader with the background required to understand the principles of commercially available analyses software, and to allow him/her to construct his/her own analysis tools in an environment such as MATLAB®. Multiple color illustrations are integrated in the text Includes an introduction to biomedical signals, noise characteristics, and recording techniques Basics and background for more advanced topics can be found in extensive notes and appendices A Companion Website hosts the MATLAB scripts and several data files: http://www.elsevierdirect.com/companion.jsp?ISBN=9780123708670
Author : Jerry L. Prince,Jonathan M. Links
Publisher : Prentice Hall
Page : 544 pages
File Size : 44,6 Mb
Release : 2014
Category : Medical
ISBN : 0132145189
Covers the most important imaging modalities in radiology: projection radiography, x-ray computed tomography, nuclear medicine, ultrasound imaging, and magnetic resonance imaging. Organized into parts to emphasize key overall conceptual divisions.
Author : Bruce
Publisher : John Wiley & Sons
Page : 540 pages
File Size : 48,7 Mb
Release : 2007-01-20
Category : Electronic
ISBN : 8126511117
This book provides a unique framework for understanding signal processing of biomedical signals and what it tells us about signal sources and their behavior in response to perturbation. Using a modeling-based approach, the author shows how to perform signal processing by developing and manipulating a model of the signal source, providing a logical, coherent basis for recognizing signal types and for tackling the special challenges posed by biomedical signals-including the effects of noise on the signal, changes in basic properties, or the fact that these signals contain large stochastic components and may even be fractal or chaotic. Each chapter begins with a detailed biomedical example, illustrating the methods under discussion and highlighting the interconnection between the theoretical concepts and applications. · The Nature of Biomedical Signals· Memory and Correlation· The Impulse Response· Frequency Response· Modeling Continuous-Time Signals as Sums of Sine Waves· Responses of Linear Continuous-Time Filters to Arbitrary Inputs· Modeling Signals as Sums of Discrete-Time Sine Waves· Noise Removal and Signal Compensation· Modeling Stochastic Signals as Filtered White Noise· Scaling and Long-Term Memory· Nonlinear Models of Signals· Assessing Stationarity and Reproducibility
Author : John L. Semmlow,Benjamin Griffel
Publisher : CRC Press
Page : 630 pages
File Size : 51,5 Mb
Release : 2021-10-01
Category : Medical
ISBN : 9781466567375
Written specifically for biomedical engineers, Biosignal and Medical Image Processing, Third Edition provides a complete set of signal and image processing tools, including diagnostic decision-making tools, and classification methods. Thoroughly revised and updated, it supplies important new material on nonlinear methods for describing and classify
Author : Abdulhamit Subasi
Publisher : Academic Press
Page : 456 pages
File Size : 44,6 Mb
Release : 2019-03-16
Category : Business & Economics
ISBN : 9780128176733
Practical Guide for Biomedical Signals Analysis Using Machine Learning Techniques: A MATLAB Based Approach presents how machine learning and biomedical signal processing methods can be used in biomedical signal analysis. Different machine learning applications in biomedical signal analysis, including those for electrocardiogram, electroencephalogram and electromyogram are described in a practical and comprehensive way, helping readers with limited knowledge. Sections cover biomedical signals and machine learning techniques, biomedical signals, such as electroencephalogram (EEG), electromyogram (EMG) and electrocardiogram (ECG), different signal-processing techniques, signal de-noising, feature extraction and dimension reduction techniques, such as PCA, ICA, KPCA, MSPCA, entropy measures, and other statistical measures, and more. This book is a valuable source for bioinformaticians, medical doctors and other members of the biomedical field who need a cogent resource on the most recent and promising machine learning techniques for biomedical signals analysis. Provides comprehensive knowledge in the application of machine learning tools in biomedical signal analysis for medical diagnostics, brain computer interface and man/machine interaction Explains how to apply machine learning techniques to EEG, ECG and EMG signals Gives basic knowledge on predictive modeling in biomedical time series and advanced knowledge in machine learning for biomedical time series
Author : John Enderle,Joseph Bronzino,Susan M. Blanchard
Publisher : Elsevier
Page : 1144 pages
File Size : 45,6 Mb
Release : 2005-05-20
Category : Science
ISBN : 9780080473147
Under the direction of John Enderle, Susan Blanchard and Joe Bronzino, leaders in the field have contributed chapters on the most relevant subjects for biomedical engineering students. These chapters coincide with courses offered in all biomedical engineering programs so that it can be used at different levels for a variety of courses of this evolving field. Introduction to Biomedical Engineering, Second Edition provides a historical perspective of the major developments in the biomedical field. Also contained within are the fundamental principles underlying biomedical engineering design, analysis, and modeling procedures. The numerous examples, drill problems and exercises are used to reinforce concepts and develop problem-solving skills making this book an invaluable tool for all biomedical students and engineers. New to this edition: Computational Biology, Medical Imaging, Genomics and Bioinformatics. * 60% update from first edition to reflect the developing field of biomedical engineering * New chapters on Computational Biology, Medical Imaging, Genomics, and Bioinformatics * Companion site: http://intro-bme-book.bme.uconn.edu/ * MATLAB and SIMULINK software used throughout to model and simulate dynamic systems * Numerous self-study homework problems and thorough cross-referencing for easy use
Author : John L. Semmlow
Publisher : Unknown
Page : 0 pages
File Size : 40,9 Mb
Release : 2005
Category : Biomedical engineering
ISBN : OCLC:1229641614
Author : W. Mark Saltzman
Publisher : Cambridge University Press
Page : 785 pages
File Size : 45,8 Mb
Release : 2015-05-21
Category : Science
ISBN : 9781107037199
The second edition of this introductory textbook conveys the impact of biomedical engineering through examples, applications, and a problem-solving approach.
Author : Gary Drzewiecki
Publisher : Cognella Academic Publishing
Page : 128 pages
File Size : 40,8 Mb
Release : 2020-07-05
Category : Electronic
ISBN : 1516574788
Lab Manual for Biomedical Engineering: Devices and Systems examines key concepts in biomedical systems and signals in a laboratory setting. The book gives students the opportunity to complete both measurement and math modeling exercises, thus demonstrating that the experimental real-world setting directly corresponds with classroom theory. All the experiments in the lab manual have been extensively class-tested and cover concepts such as wave math, Fourier transformation, electronic and random noise, transfer functions, and systems modeling. Each experiment builds on knowledge acquired in previous experiments, allowing the level of difficulty to increase at an appropriate pace. In completing the lab work, students enhance their understanding of the lecture course. The third edition features expanded exercises, additional sample data and measurements, and lab modifications for increased ease and simple adaptation to the online teaching and learning environment. Individual activities have also been added to aid with independent learning. Lab Manual for Biomedical Engineering is ideal for undergraduate courses in biomedical engineering comprised of students who have completed introductory electrical and mechanical physics courses. A two-semester background in calculus is recommended.
Author : Kayvan Najarian,Robert Splinter
Publisher : CRC Press
Page : 411 pages
File Size : 47,6 Mb
Release : 2016-04-19
Category : Medical
ISBN : 9781439870341
Written for senior-level and first year graduate students in biomedical signal and image processing, this book describes fundamental signal and image processing techniques that are used to process biomedical information. The book also discusses application of these techniques in the processing of some of the main biomedical signals and images, such as EEG, ECG, MRI, and CT. New features of this edition include the technical updating of each chapter along with the addition of many more examples, the majority of which are MATLAB based.
Author : Robert J. Roselli,Kenneth R. Diller
Publisher : Springer Science & Business Media
Page : 1293 pages
File Size : 50,6 Mb
Release : 2011-06-10
Category : Medical
ISBN : 9781441981196
Introduction to Biotransport Principles is a concise text covering the fundamentals of biotransport, including biological applications of: fluid, heat, and mass transport.