Circuits, Signals, and Systems for Bioengineers: A MATLAB-Based Introduction, Fourth 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 fourth edition expands on concepts introduced in the previous edition through computational methods that allow students to explore operations, such as correlations, convolution, the Fourier transform, and the transfer function. New medical examples and applications are included throughout the text.
1. Title of Book - p. i 2. Cover image - p. i 3. Title page - p. ii 4. Table of Contents - p. iii 5. Copyright - p. iv 6. Preface to the Fourth Edition - p. ix 7. Acknowledgments - p. xi 8. Part I. Signals - p. P1 9. CHAPTER 1. The big picture: bioengineering signals and systems - p. 3 10. Chapter 2. Signal analysis in the time domain - p. 53 11. 2.1 Goals of this chapter - p. 53 12. 2.2 Time domain measurements - p. 54 13. 2.3 The basic waveform: sinusoids - p. 70 14. 2.4 Time domain analysis - p. 78 15. 2.5 Summary - p. 111 16. Chapter 3. Signal analysis in the frequency domain: the Fourier series and the Fourier transformation - p. 119 17. 3.1 Goals of this chapter - p. 119 18. 3.2 Time and frequency domains: general concepts - p. 120 19. 3.3 Time-frequency transformation of continuous signals - p. 121 20. 3.4 Time-frequency transformation in the discrete domain - p. 147 21. 3.5 Summary - p. 171 22. Chapter 4. Signal analysis in the frequency domain: implications and applications - p. 181 23. Part II. Systems - p. P2 24. Chapter 5. Linear systems analysis in the time domain: convolution - p. 227 25. Chapter 6. Linear systems in the frequency domain: the transfer function - p. 265 26. 6.1 Goals of this chapter - p. 265 27. 6.2 Systems analysis models - p. 266 28. 6.3 The response of system elements to sinusoidal inputs: phasor analysis - p. 270 29. 6.4 The transfer function - p. 274 30. 6.5 The spectrum of system elements: the Bode plot - p. 282 31. 6.6 Bode plots combining multiple elements - p. 298 32. 6.7 The transfer function and the Fourier transform - p. 307 33. 6.8 Summary - p. 310 34. CHAPTER 7. Linear systems in the complex frequency domain: the Laplace transform - p. 317 35. 7.1 Goals of this chapter - p. 317 36. 7.2 The Laplace transform - p. 319 37. 7.3 The Laplace domain transfer function - p. 324 38. 7.4 Non-zero initial conditions: Initial and Final Value Theorems - p. 346 39. 7.5 The Laplace domain, the frequency domain, and the time domain - p. 350 40. 7.6 System identification revisited - p. 354 41. 7.7 Summary - p. 362 42. Chapter 8. Digital filters as discrete linear systems: filter applications and the z-transform - p. 369 43. Chapter 9. System simulation and Simulink - p. 425 44. Chapter 10. Stochastic, nonstationary, and nonlinear systems and signals - p. 475 45. Chapter 11. Two-dimensional signals: basic image analysis - p. 517 46. Part III. Circuits - p. P3 47. Chapter 12. Circuit elements and circuit variables - p. 559 48. 12.1 Goals of this chapter - p. 559 49. 12.2 System variables: the signals of electrical and mechanical systems - p. 560 50. 12.3 Analog system versus general systems - p. 564 51. 12.4 Electrical elements - p. 565 52. 12.5 Phasor analysis - p. 578 53. 12.6 Laplace domain: electrical elements - p. 583 54. 12.7 Summary: electrical elements - p. 588 55. 12.8 Mechanical elements - p. 588 56. 12.9 Summary - p. 602 57. Chapter 13. Analysis of analog circuit and models - p. 607 58. 13.1 Goals of this chapter - p. 607 59. 13.2 Conservation laws: Kirchhoff’s voltage law - p. 608 60. 13.3 Conservation laws: Kirchhoff’s current law—nodal analysis - p. 626 61. 13.4 Conservation laws: Newton’s law—mechanical systems - p. 631 62. 13.5 Resonance - p. 638 63. 13.6 Summary - p. 653 64. Chapter 14. Circuit reduction: simplifications - p. 661 65. 14.1 Goals of the chapter - p. 661 66. 14.2 System simplifications: passive network reduction - p. 662 67. 14.3 Network reduction: passive networks - p. 667 68. 14.4 Ideal and real sources - p. 676 69. 14.5 Thévenin and Norton theorems: network reduction with sources - p. 687 70. 14.6 Measurement loading - p. 692 71. 14.7 Mechanical systems - p. 697 72. 14.8 Multiple sources: revisited - p. 703 73. 14.9 Summary - p. 705 74. Chapter 15. Basic analog electronics: operational amplifiers - p. 711 75. Appendices - p. 752 76. Appendix A Derivations - p. 753 77. Appendix B Properties of the Fourier transform and Laplace transforms - p. 759 78. Appendix C Trigonometric and other formulae - p. 761 79. Appendix D. Conversion factors - p. 763 80. Appendix E Complex arithmetic - p. 769 81. Appendix F LF 356 specifications - p. 773 82. Appendix G Determinants and Cramer’s rule - p. 775 83. Bibliography - p. 777 84. Index - p. 779
Circuits, Signals, and Systems for Bioengineers: A MATLAB-Based Introduction, Fourth 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 fourth edition expands on concepts introduced in the previous edition through computational methods that allow students to explore operations, such as correlations, convolution, the Fourier transform, and the transfer function. New medical examples and applications are included throughout the text.
1. Title of Book - p. i 2. Cover image - p. i 3. Title page - p. ii 4. Table of Contents - p. iii 5. Copyright - p. iv 6. Preface to the Fourth Edition - p. ix 7. Acknowledgments - p. xi 8. Part I. Signals - p. P1 9. CHAPTER 1. The big picture: bioengineering signals and systems - p. 3 10. Chapter 2. Signal analysis in the time domain - p. 53 11. 2.1 Goals of this chapter - p. 53 12. 2.2 Time domain measurements - p. 54 13. 2.3 The basic waveform: sinusoids - p. 70 14. 2.4 Time domain analysis - p. 78 15. 2.5 Summary - p. 111 16. Chapter 3. Signal analysis in the frequency domain: the Fourier series and the Fourier transformation - p. 119 17. 3.1 Goals of this chapter - p. 119 18. 3.2 Time and frequency domains: general concepts - p. 120 19. 3.3 Time-frequency transformation of continuous signals - p. 121 20. 3.4 Time-frequency transformation in the discrete domain - p. 147 21. 3.5 Summary - p. 171 22. Chapter 4. Signal analysis in the frequency domain: implications and applications - p. 181 23. Part II. Systems - p. P2 24. Chapter 5. Linear systems analysis in the time domain: convolution - p. 227 25. Chapter 6. Linear systems in the frequency domain: the transfer function - p. 265 26. 6.1 Goals of this chapter - p. 265 27. 6.2 Systems analysis models - p. 266 28. 6.3 The response of system elements to sinusoidal inputs: phasor analysis - p. 270 29. 6.4 The transfer function - p. 274 30. 6.5 The spectrum of system elements: the Bode plot - p. 282 31. 6.6 Bode plots combining multiple elements - p. 298 32. 6.7 The transfer function and the Fourier transform - p. 307 33. 6.8 Summary - p. 310 34. CHAPTER 7. Linear systems in the complex frequency domain: the Laplace transform - p. 317 35. 7.1 Goals of this chapter - p. 317 36. 7.2 The Laplace transform - p. 319 37. 7.3 The Laplace domain transfer function - p. 324 38. 7.4 Non-zero initial conditions: Initial and Final Value Theorems - p. 346 39. 7.5 The Laplace domain, the frequency domain, and the time domain - p. 350 40. 7.6 System identification revisited - p. 354 41. 7.7 Summary - p. 362 42. Chapter 8. Digital filters as discrete linear systems: filter applications and the z-transform - p. 369 43. Chapter 9. System simulation and Simulink - p. 425 44. Chapter 10. Stochastic, nonstationary, and nonlinear systems and signals - p. 475 45. Chapter 11. Two-dimensional signals: basic image analysis - p. 517 46. Part III. Circuits - p. P3 47. Chapter 12. Circuit elements and circuit variables - p. 559 48. 12.1 Goals of this chapter - p. 559 49. 12.2 System variables: the signals of electrical and mechanical systems - p. 560 50. 12.3 Analog system versus general systems - p. 564 51. 12.4 Electrical elements - p. 565 52. 12.5 Phasor analysis - p. 578 53. 12.6 Laplace domain: electrical elements - p. 583 54. 12.7 Summary: electrical elements - p. 588 55. 12.8 Mechanical elements - p. 588 56. 12.9 Summary - p. 602 57. Chapter 13. Analysis of analog circuit and models - p. 607 58. 13.1 Goals of this chapter - p. 607 59. 13.2 Conservation laws: Kirchhoff’s voltage law - p. 608 60. 13.3 Conservation laws: Kirchhoff’s current law—nodal analysis - p. 626 61. 13.4 Conservation laws: Newton’s law—mechanical systems - p. 631 62. 13.5 Resonance - p. 638 63. 13.6 Summary - p. 653 64. Chapter 14. Circuit reduction: simplifications - p. 661 65. 14.1 Goals of the chapter - p. 661 66. 14.2 System simplifications: passive network reduction - p. 662 67. 14.3 Network reduction: passive networks - p. 667 68. 14.4 Ideal and real sources - p. 676 69. 14.5 Thévenin and Norton theorems: network reduction with sources - p. 687 70. 14.6 Measurement loading - p. 692 71. 14.7 Mechanical systems - p. 697 72. 14.8 Multiple sources: revisited - p. 703 73. 14.9 Summary - p. 705 74. Chapter 15. Basic analog electronics: operational amplifiers - p. 711 75. Appendices - p. 752 76. Appendix A Derivations - p. 753 77. Appendix B Properties of the Fourier transform and Laplace transforms - p. 759 78. Appendix C Trigonometric and other formulae - p. 761 79. Appendix D. Conversion factors - p. 763 80. Appendix E Complex arithmetic - p. 769 81. Appendix F LF 356 specifications - p. 773 82. Appendix G Determinants and Cramer’s rule - p. 775 83. Bibliography - p. 777 84. Index - p. 779
