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Circuits, Signals, and Systems for Bioengineers: A MATLAB-Based Introduction [Kõva köide]

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(Rutgers University and Robert Wood Johnson Medical School-University of Medicine & Dentistry of New Jersey, New Brunswick, USA)
  • Formaat: Hardback, 464 pages, kõrgus x laius: 235x191 mm, kaal: 980 g, Contains 1 CD-ROM and 1 Digital (delivered electronically)
  • Sari: Biomedical Engineering
  • Ilmumisaeg: 15-Apr-2005
  • Kirjastus: Academic Press Inc
  • ISBN-10: 0120884933
  • ISBN-13: 9780120884933
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Circuits, Signals, and Systems for Bioengineers: A MATLAB-Based IntroductionSuurem pilt
  • Formaat: Hardback, 464 pages, kõrgus x laius: 235x191 mm, kaal: 980 g, Contains 1 CD-ROM and 1 Digital (delivered electronically)
  • Sari: Biomedical Engineering
  • Ilmumisaeg: 15-Apr-2005
  • Kirjastus: Academic Press Inc
  • ISBN-10: 0120884933
  • ISBN-13: 9780120884933
Teised raamatud teemal:
Püsilink: https://www.kriso.ee/db/9780120884933.html
Märksõnad:
Approaches such as the Transfer Function and the Fourier and the Laplace transforms are important tools for bioengineers that often considered borrowed from electrical engineering. This text allows bioengineering students to foster a sense of ownership of these tools by providing students with a solid foundation in the concepts of linear systems analysis.

Circuits, Signals and Systems for Bioengineers guides readers through the basic engineering concepts that underlie biological systems, medical devices, biocontrol, and biosignal analysis. Material important to their study and traditionally taught in an electrical engineering service course can now be embraced by bioengineers. To further enhance the effectiveness of the book, instructive illustrations and MATLAB routines and examples are provided throughout the book with additional material available electronically.

· Translates important electrical engineering tools such as Fourier Transform, Laplace Transform, analog modeling, systems modeling, and other linear systems analysis techniques for bioengineering students.

· Includes MATLAB examples and problems.

· Includes CD-Rom with PowerPoint presentations, extra examples, figures, and support routines.
Bioengineering Signals and Systems
1(30)
Biological Systems
1(2)
Biosignals
3(6)
Signal Encoding
6(3)
Linear Signal Analysis: Overview
9(14)
Analysis of Linear Systems
11(1)
Analog Analysis and Analog Models
11(4)
Systems Analysis and Systems Models
15(7)
Systems and Analog Analysis: Summary
22(1)
Noise and Variability
23(4)
Electronic Noise
24(3)
Signal-to-Noise Ratio
27(1)
Summary
27(4)
Problems
29(2)
Basic Signal Processing
31(38)
Basic Signals: The Sinusoidal Waveform
31(7)
Sinusoidal Arithmetic
34(2)
Complex Representation
36(2)
Signal Properties: Basic Measurements
38(6)
Decibels
42(2)
Advanced Measurements: Correlations and Covariances
44(10)
Standard Correlation and Covariance
45(3)
Autocorrelation and Cross-Correlation
48(6)
Matlab Implementation
54(11)
Mean, Variance, and Standard Deviation
54(3)
Ensemble Averaging
57(1)
Covariance and Correlation
58(3)
Autocorrelation and Cross-Correlation
61(4)
Summary
65(4)
Problems
66(3)
Frequency Transformations
69(52)
Useful Properties of the Sinusoidal Signal
72(3)
Fourier Series Analysis
75(5)
Symmetry
79(1)
Frequency Representation
80(2)
Complex Representation
82(3)
The Continuous Fourier Transform
85(2)
Discrete Data: The Discrete Fourier Transform
87(10)
Data Sampling: Sampling Theorem
88(5)
Amplitude Slicing: Quantization (Optional)
93(2)
Data Length: Truncation
95(2)
Power Spectrum
97(4)
Spectral Averaging
99(2)
Signal Bandwidth
101(1)
Matlab Implementation
102(13)
Summary
115(6)
Problems
116(5)
Circuit and Analog Analysis in Sinusoidal Steady State
121(40)
Circuits and Analog Systems
121(2)
System Variables and Elements
123(16)
Electrical Variables
125(2)
Electrical Elements
127(8)
Active Elements
135(2)
The Fluid Analogy
137(2)
Phasor Analysis
139(8)
Phasor Representation: Electrical Elements
144(3)
Mechanical Elements
147(10)
Passive Elements
148(3)
Elasticity
151(2)
Sources
153(4)
Summary
157(4)
Problems
158(3)
Analysis of Analog Models and Processes
161(32)
Conservation Laws: Kirchhoff's Voltage Law
161(12)
Mesh Analysis: Single Loops
162(6)
Mesh Analysis: Multiple Loops
168(3)
Mesh Analysis: Matlab Implementation
171(2)
Conservation Laws: Kirchhoff's Current Law---Nodal Analysis
173(5)
Conservation Laws: Newton's Law---Mechanical Systems
178(8)
Summary
186(7)
Problems
187(6)
Frequency Characteristics of Circuits and Analog Processes: The Transfer Function
193(46)
The Circuit or Mechanical System as a Process
193(5)
Superposition
195(1)
The Transfer Function
196(1)
Transfer Function Characteristics
197(1)
Transfer Function Frequency Plots: The Bode Plot
198(15)
Frequency Characteristics of Bode Plot Primitives
201(12)
Filters
213(8)
Filter Types
214(1)
Filter Bandwidth
215(1)
Filter Order
216(1)
Filter Initial Sharpness
217(1)
Evaluating Filter Frequency Characteristics
217(2)
Filter Design
219(2)
MATLAB Implementation
221(13)
Transfer Function
221(6)
System Identification
227(3)
The Transfer Function and Fourier Series Decomposition
230(4)
Summary
234(5)
Problems
234(5)
Relationships Between Analog Elements
239(50)
System Simplifications: Passive Network Reduction
239(13)
Series Electrical Elements
240(2)
Parallel Elements
242(2)
Network Reduction: Passive Networks
244(8)
Ideal and Real Sources
252(12)
The Voltage--Current or v-i Plot
252(3)
Real Voltage Sources: The Thevenin Source
255(3)
Real Current Sources: The Norton Source
258(3)
Thevenin and Norton Circuit Conversion
261(3)
Thevenin and Norton Theorems: Network Reduction with Sources
264(5)
Measurement Loading
269(6)
Ideal and Real Measurement Devices
270(3)
Maximum Power Transfer
273(2)
Mechanical Systems
275(6)
Multiple Sources: Revisited
281(2)
Summary
283(6)
Problems
283(6)
The Analysis of Transients: The Laplace Transform
289(46)
The Laplace Transform
289(11)
Definition of the Laplace Transform
290(2)
Laplace Representation of Elements: Calculus Operations in the Laplace Domain
292(1)
Initial Conditions
293(1)
Voltage--Current and Force--Velocity Relationships in the Laplace Domain
294(2)
Sources: Common Signals in the Laplace Domain
296(2)
Converting the Laplace Transform to the Frequency Domain
298(1)
The Time-Delay Element
299(1)
The Inverse Laplace Transform
300(1)
Laplace Analysis: The Laplace Transfer Function
300(16)
First-Order Processes
302(4)
Second-Order Processes
306(10)
Nonzero Initial Conditions
316(4)
Initial and Final Value Theorems
320(1)
The Laplace Domain and the Frequency Domain
321(9)
Summary
330(5)
Problems
330(5)
System Models and Behavior
335(36)
The System Model
335(5)
Feedback
337(3)
The Convolution Integral
340(14)
Matlab Implementation
343(11)
Resonance
354(11)
Resonant Frequency
355(1)
Resonant Bandwidth, Q
355(10)
Summary
365(6)
Problems
367(4)
Basic Analog Electronics: Operational Amplifiers
371(44)
The Amplifier
372(2)
The Operational Amplifier
374(2)
The Noninverting Amplifier
376(3)
The Inverting Amplifier
379(2)
Practical Operational Amplifiers
381(17)
Limitations in Transfer Characteristics of Real Operational Amplifiers
382(7)
Input Characteristics
389(7)
Output Characteristics
396(2)
Power Supply
398(1)
Operational Amplifier Circuits, or 101 Things to Do with an Operational Amplifier
399(12)
The Differential Amplifier
400(1)
The Adder
401(1)
The Buffer Amplifier
402(1)
The Transconductance Amplifier
403(2)
Analog Filters
405(2)
Instrumentation Amplifier
407(4)
Summary
411(4)
Problems
411(4)
APPENDIX A
415(6)
Derivation of Euler's Formula
415(1)
Confirmation of the Fourier Series
416(1)
Derivation of the Transfer Function of a Second-Order Op Amp Filter
417(1)
Derivation of the Transfer Function of an Instrumentation Amplifier
418(3)
APPENDIX B Laplace Transforms
421(2)
APPENDIX C Trigonometric and Other Formulas
423(2)
APPENDIX D Units
425(4)
APPENDIX E Complex Arithmetic
429(4)
Addition and Subtraction
430(1)
Multiplication and Division
430(3)
APPENDIX F LF 356 Specifications
433(2)
APPENDIX G Determinants and Cramer's Rule
435(2)
Bibliography 437(2)
Index 439


John Semmlow was a professor in the Department of Biomedical Engineering of Rutgers University and in the Department of Surgery of Robert Wood Johnson Medical School UMDNJ for 32 years. Over that period he published over 100 review journal articles and has been appointed a Fellow of the IEEE, the AIMBE, and the BMES. He retired in June of 2010, but still remains active in research, particularly cardiovascular diagnosis and human motor control. He is actively pursuing a second career as an artist, designing and building computer controlled kinetic art: sculptures that move in interesting and intriguing ways.