Circuits, Signals and Systems for Bioengineers

1. Introduction - The Big Picture
2. Basic Concepts in Signal Analysis
3. The Fourier Series and the Fourier Transformation - Continuous Signals
4. The Discrete Time Fourier Series and Transform - Discrete Signals
5. Linear Systems Analysis in the Time Domain - Convolution and Simulation
6. Analysis of Continuous Linear Systems in the Frequency Domain
7. Analysis of Continuous Linear Systems in the s Domain - The Laplace Transform and the Analysis of Transients
8. Analysis of Discrete Linear Systems in the z Domain - The z-Transform
9. Linear System Analysis - Applications
10. System Modeling and Simulation
11. Stochastic, Nonstationary, and Nonlinear Systems and Signals
12. Two-Dimensional Signals - Basic Image Analysis
13. Circuits Elements and Circuit Variables
14. Circuit Analysis and Analog Models
15. Circuit Reduction - Simplifications
16. Basic Analog Electronics - Operational Amplifiers

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

Biomedical engineering students; practicing medical technicians; mechanical engineers; electrical engineers