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.
1. Cover image - p. i 2. Title page - p. i 3. Table of Contents - p. ii 4. Series Page - p. iii 5. Copyright - p. iii 6. Dedication - p. iv 7. Preface to the Third Edition - p. iv 8. Acknowledgments - p. xii 9. Part I. Signals - p. xii 10. Chapter 1. The Big Picture: Bioengineering Signals and Systems - p. xii 11. Chapter 2. Signal Analysis in the Time Domain - p. 50 12. 2.1. Goals of This Chapter - p. 50 13. 2.2. Time Domain Measurements - p. 52 14. 2.3. The Basic Waveform: Sinusoids - p. 68 15. 2.4. Time Domain Analysis - p. 76 16. 2.5. Summary - p. 106 17. Problems - p. 107 18. Chapter 3. Signal Analysis in the Frequency Domain: The Fourier Series and the Fourier Transformation - p. 110 19. 3.1. Goals of This Chapter - p. 110 20. 3.2. Time–Frequency Domains: General Concepts - p. 112 21. 3.3. Time–Frequency Transformation of Continuous Signals - p. 113 22. 3.4. Time–Frequency Transformation in the Discrete Domain - p. 137 23. 3.5. Summary - p. 160 24. Problems - p. 161 25. Chapter 4. Signal Analysis in the Frequency Domain—Implications and Applications - p. 168 26. Part II. Systems - p. 206 27. Chapter 5. Linear Systems Analysis in the Time Domain—Convolution - p. 206 28. Chapter 6. Linear Systems in the Frequency Domain: The Transfer Function - p. 243 29. Chapter 7. Linear Systems in the Complex Frequency Domain: The Laplace Transform - p. 294 30. 7.1. Goals of This Chapter - p. 294 31. 7.2. The Laplace Transform - p. 297 32. 7.3. The Laplace Domain Transfer Function - p. 302 33. 7.4. Nonzero Initial Conditions—Initial and Final Value Theorems - p. 324 34. 7.5. The Laplace Domain, the Frequency Domain, and the Time Domain - p. 328 35. 7.6. System Identification - p. 331 36. 7.7. Summary - p. 338 37. Problems - p. 339 38. Chapter 8. Analysis of Discrete Linear Systems—The z-Transform and Applications to Filters - p. 344 39. Chapter 9. System Simulation and Simulink - p. 397 40. Chapter 10. Stochastic, Nonstationary, and Nonlinear Systems and Signals - p. 447 41. Chapter 11. Two-Dimensional Signals—Basic Image Analysis - p. 489 42. Part III. Circuits - p. 526 43. Chapter 12. Circuit Elements and Circuit Variables - p. 526 44. Chapter 13. Analysis of Analog Circuits and Models - p. 576 45. 13.1. Goals of This Chapter - p. 576 46. 13.2. Conservation Laws: Kirchhoff's Voltage Law - p. 578 47. 13.3. Conservation Laws: Kirchhoff's Current Law—Nodal Analysis - p. 596 48. 13.4. Conservation Laws: Newton's Law—Mechanical Systems - p. 601 49. 13.5. Resonance - p. 607 50. 13.6. Summary - p. 622 51. Problems - p. 623 52. Chapter 14. Circuit Reduction: Simplifications - p. 629 53. Chapter 15. Basic Analog Electronics: Operational Amplifiers - p. 679 54. Appendices - p. 723 55. Appendix A. Derivations - p. 723 56. Appendix B. Laplace Transforms and Properties of the Fourier Transform - p. 732 57. Appendix C. Trigonometric and Other Formulae - p. 734 58. Appendix D. Conversion Factors: Units - p. 736 59. Appendix E. Complex Arithmetic - p. 741 60. Appendix F. LF356 Specifications - p. 746 61. Appendix G. Determinants and Cramer's Rule - p. 746 62. Bibliography - p. 750 63. Index - p. 750
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.
1. Cover image - p. i 2. Title page - p. i 3. Table of Contents - p. ii 4. Series Page - p. iii 5. Copyright - p. iii 6. Dedication - p. iv 7. Preface to the Third Edition - p. iv 8. Acknowledgments - p. xii 9. Part I. Signals - p. xii 10. Chapter 1. The Big Picture: Bioengineering Signals and Systems - p. xii 11. Chapter 2. Signal Analysis in the Time Domain - p. 50 12. 2.1. Goals of This Chapter - p. 50 13. 2.2. Time Domain Measurements - p. 52 14. 2.3. The Basic Waveform: Sinusoids - p. 68 15. 2.4. Time Domain Analysis - p. 76 16. 2.5. Summary - p. 106 17. Problems - p. 107 18. Chapter 3. Signal Analysis in the Frequency Domain: The Fourier Series and the Fourier Transformation - p. 110 19. 3.1. Goals of This Chapter - p. 110 20. 3.2. Time–Frequency Domains: General Concepts - p. 112 21. 3.3. Time–Frequency Transformation of Continuous Signals - p. 113 22. 3.4. Time–Frequency Transformation in the Discrete Domain - p. 137 23. 3.5. Summary - p. 160 24. Problems - p. 161 25. Chapter 4. Signal Analysis in the Frequency Domain—Implications and Applications - p. 168 26. Part II. Systems - p. 206 27. Chapter 5. Linear Systems Analysis in the Time Domain—Convolution - p. 206 28. Chapter 6. Linear Systems in the Frequency Domain: The Transfer Function - p. 243 29. Chapter 7. Linear Systems in the Complex Frequency Domain: The Laplace Transform - p. 294 30. 7.1. Goals of This Chapter - p. 294 31. 7.2. The Laplace Transform - p. 297 32. 7.3. The Laplace Domain Transfer Function - p. 302 33. 7.4. Nonzero Initial Conditions—Initial and Final Value Theorems - p. 324 34. 7.5. The Laplace Domain, the Frequency Domain, and the Time Domain - p. 328 35. 7.6. System Identification - p. 331 36. 7.7. Summary - p. 338 37. Problems - p. 339 38. Chapter 8. Analysis of Discrete Linear Systems—The z-Transform and Applications to Filters - p. 344 39. Chapter 9. System Simulation and Simulink - p. 397 40. Chapter 10. Stochastic, Nonstationary, and Nonlinear Systems and Signals - p. 447 41. Chapter 11. Two-Dimensional Signals—Basic Image Analysis - p. 489 42. Part III. Circuits - p. 526 43. Chapter 12. Circuit Elements and Circuit Variables - p. 526 44. Chapter 13. Analysis of Analog Circuits and Models - p. 576 45. 13.1. Goals of This Chapter - p. 576 46. 13.2. Conservation Laws: Kirchhoff's Voltage Law - p. 578 47. 13.3. Conservation Laws: Kirchhoff's Current Law—Nodal Analysis - p. 596 48. 13.4. Conservation Laws: Newton's Law—Mechanical Systems - p. 601 49. 13.5. Resonance - p. 607 50. 13.6. Summary - p. 622 51. Problems - p. 623 52. Chapter 14. Circuit Reduction: Simplifications - p. 629 53. Chapter 15. Basic Analog Electronics: Operational Amplifiers - p. 679 54. Appendices - p. 723 55. Appendix A. Derivations - p. 723 56. Appendix B. Laplace Transforms and Properties of the Fourier Transform - p. 732 57. Appendix C. Trigonometric and Other Formulae - p. 734 58. Appendix D. Conversion Factors: Units - p. 736 59. Appendix E. Complex Arithmetic - p. 741 60. Appendix F. LF356 Specifications - p. 746 61. Appendix G. Determinants and Cramer's Rule - p. 746 62. Bibliography - p. 750 63. Index - p. 750
