Signals and Systems for Bioengineers - Edition 2 - By John Semmlow Elsevier Educate

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Signals and Systems for Bioengineers,

Edition 2 A MATLAB-Based Introduction

By John Semmlow

Publication Date: 22 Sep 2011

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Signals and Systems for Bioengineers, Second Edition, is the only textbook that relates important electrical engineering concepts to biomedical engineering and biological studies. It explains in detail the basic engineering concepts that underlie biomedical systems, medical devices, biocontrol, and biosignal analysis. It is perfect for the one-semester bioengineering course usually offered in conjunction with a laboratory on signals and measurements which presents the fundamentals of systems and signal analysis. The target course occupies a pivotal position in the bioengineering curriculum and will play a critical role in the future development of bioengineering students.

This book provides increased coverage of time-domain signal analysis as well as biomeasurement, using examples in ultrasound and electrophysiology. It also presents new applications in biocontrol, with examples from physiological systems modeling such as the respiratory system. It contains double the number of Matlab and non-Matlab exercises to provide ample practice solving problems - by hand and with computational tools. More biomedical figures are found throughout the book. For instructors using this text in their course, an accompanying website (www.elsevierdirect.com, in Semmlow page) includes support materials such as MATLAB data and functions needed to solve the problems, a few helpful routines, and all of the MATLAB examples.

Intended readers include biomedical engineering students, practicing medical technicians, mechanical engineers, and electrical engineers.

Key Features

Reorganized to emphasize signal and system analysis
Increased coverage of time-domain signal analysis
Expanded coverage of biomeasurement, using examples in ultrasound and electrophysiology
New applications in biocontrol, with examples from physiological systems modeling such as the respiratory system
Double the number of Matlab and non-Matlab exercises to provide ample practice solving problems - by hand and with computational tools
More Biomedical and real-world examples
More biomedical figures throughout

About the author

By John Semmlow, Rutgers University and Robert Wood Johnson Medical School-University of Medicine & Dentistry of New Jersey, New Brunswick, USA

Acknowledgements
Preface to the Second Edition
Chapter 1. The Big Picture

1.1. Biological Systems
1.2. Biosignals
1.3. Noise
1.4. Signal Properties—Basic Measurements
1.5. Summary

Chapter 2. Basic Concepts in Signal Processing

2.1. Basic Signals—The Sinusoidal Waveform
2.2. More Basic Signals—Periodic, Aperiodic, and Transient
2.3. Two-Dimensional Signals—Images
2.4. Signal Comparisons and Transformations
2.5. Summary

Chapter 3. Fourier Transform

3.1. Time- and Frequency-Domain Signal Representations
3.2. Fourier Series Analysis
3.3. Frequency Representation
3.4. Complex Representation
3.5. The Continuous Fourier Transform
3.6. Discrete Data: The Discrete Fourier Series and Discrete Fourier Transform
3.7. MATLAB Implementation of the Discrete Fourier Transform (DFT)
3.8. Summary

Chapter 4. The Fourier Transform and Power Spectrum

4.1. Data Acquisition and Storage
4.2. Power Spectrum
4.3. Spectral Averaging
4.4. Stationarity and Time-Frequency Analysis
4.5. Signal Bandwidth
4.6. Summary

Chapter 5. Linear Systems in the Frequency Domain

5.1. Linear Signal Analysis—An Overview
5.2. The Response of System Elements to Sinusoidal Inputs—Phasor Analysis
5.3. The Transfer Function
5.4. Transfer Function Spectral Plots—The Bode Plot
5.5. Bode Plots Combining Multiple Elements
5.6. The Transfer Function and the Fourier Transform
5.7. Summary

Chapter 6. Linear Systems Analysis in the Complex Frequency Domain

6.1. The Laplace Transform
6.2. Laplace Analysis—The Laplace Transfer Function
6.3. Nonzero Initial Conditions—Initial and Final Value Theorems
6.4. The Laplace Domain and the Frequency Domain
6.5. Summary

Chapter 7. Linear Systems Analysis in the Time Domain

7.1. Linear Systems
7.2. The Convolution Integral
7.3. The Relationship between Convolution and Frequency Domain Analysis
7.4. Convolution in the Frequency Domain
7.5. System Simulation and Simulink
7.6. Biological Examples
7.7. Summary

Chapter 8. Linear System Analysis

8.1. Linear Filters—Introduction
8.2. Finite Impulse Response (FIR) Filters
8.3. Two-Dimensional Filtering—Images
8.4. FIR Filter Design Using MATLAB—The Signal Processing Toolbox
8.5. Infinite Impulse Response Filters
8.6. The Digital Transfer Function and the z-Transform
8.7. Summary

Chapter 9. Circuit Elements and Circuit Variables

9.1. Circuits and Analog Systems
9.2. System Variables
9.3. Electrical Elements
9.4. Phasor Analysis
9.5. Laplace Domain—Electrical Elements
9.6. Summary—Electrical Elements
9.7. Mechanical Elements
9.8. Summary

Chapter 10. Analysis of Analog Circuits and Models

10.1. Conservation Laws—Kirchhoff’s Voltage Law
10.2. Conservation Laws—Kirchhoff’s Current Law: Nodal Analysis
10.3. Conservation Laws—Newton’s Law: Mechanical Systems
10.4. Resonance
10.5. Summary

Chapter 11. Circuit Reduction

11.1. System Simplifications—Passive Network Reduction
11.2. Network Reduction—Passive Networks
11.3. Ideal and Real Sources
11.4. Thévenin and Norton Theorems—Network Reduction with Sources
11.5. Measurement Loading
11.6. Mechanical Systems
11.7. Multiple Sources—Revisited
11.8. Summary

Chapter 12. Basic Analog Electronics

12.1. The Amplifier
12.2. The Operational Amplifier
12.3. The Noninverting Amplifier
12.4. The Inverting Amplifier
12.5. Practical Op Amps
12.6. Power Supply
12.7. Op Amp Circuits or 101 Things to Do with an Op Amp
12.8. Summary

Appendix A. Derivations
Appendix B. Laplace Transforms and Properties of the Fourier Transform
Appendix C. Trigonometric and Other Formulae
Appendix D. Conversion Factors: Units
Appendix E. Complex Arithmetic
Appendix F. LF356 Specifications
Appendix G. Determinants and Cramer's Rule
Bibliography
Index

ISBN: 9780123849823

Page Count: 604

Retail Price (USD) :

Enderle/ Blanchard/ Bronzino: Introduction to Biomedical Engineering; 0122386604; 1062pgs.; $89.95; £54.95

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