Signals and Systems in Biomedical Engineering

1. Front Matter

   Pages i-xvi

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2. Introduction to Systems Analysis and Numerical Methods

   • Suresh R. Devasahayam

   Pages 1-9

3. Continuous Time Signals and Systems

   • Suresh R. Devasahayam

   Pages 11-30

4. Fourier Analysis for Continuous Time Processes

   • Suresh R. Devasahayam

   Pages 31-66

5. Discrete Time Signals and Systems

   • Suresh R. Devasahayam

   Pages 67-100

6. Fourier Analysis for Discrete-Time Processes

   • Suresh R. Devasahayam

   Pages 101-138

7. Time-Frequency and Wavelet Analysis

   • Suresh R. Devasahayam

   Pages 139-164

8. Estimation of Signals in Noise

   • Suresh R. Devasahayam

   Pages 165-180

9. Feedback Systems

   • Suresh R. Devasahayam

   Pages 181-196

10. Model Based Analysis of Physiological Signals

    • Suresh R. Devasahayam

    Pages 197-208

11. Modeling the Nerve Action Potential

    • Suresh R. Devasahayam

    Pages 209-234

12. Modeling Skeletal Muscle Contraction

    • Suresh R. Devasahayam

    Pages 235-266

13. Modeling Myoelectric Activity

    • Suresh R. Devasahayam

    Pages 267-294

14. System Identification in Physiology

    • Suresh R. Devasahayam

    Pages 295-308

15. Modeling the Cardiovascular System

    • Suresh R. Devasahayam

    Pages 309-320

16. A Model of the Immune Response to Disease

    • Suresh R. Devasahayam

    Pages 321-328

17. Back Matter

    Pages 329-337

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In the past few years Biomedical Engineering has received a great deal of attention as one of the emerging technologies in the last decade and for years to come, as witnessed by the many books, conferences, and their proceedings. Media attention, due to the applications-oriented advances in Biomedical Engineering, has also increased. Much of the excitement comes from the fact that technology is rapidly changing and new technological adventures become available and feasible every day. For many years the physical sciences contributed to medicine in the form of expertise in radiology and slow but steady contributions to other more diverse fields, such as computers in surgery and diagnosis, neurology, cardiology, vision and visual prosthesis, audition and hearing aids, artificial limbs, biomechanics, and biomaterials. The list goes on. It is therefore hard for a person unfamiliar with a subject to separate the substance from the hype. Many of the applications of Biomedical Engineering are rather complex and difficult to understand even by the not so novice in the field. Much of the hardware and software tools available are either too simplistic to be useful or too complicated to be understood and applied. In addition, the lack of a common language between engineers and computer scientists and their counterparts in the medical profession, sometimes becomes a barrier to progress.

• Fourier analysis
• Potential
• Signal
• Software
• analog
• biomedical engineering
• digital signal processing
• filtering
• model
• modeling
• physiology
• signal processing
• simulation
• skeletal muscle
• system identification

`The book....fills a void in available textbooks. It is ideally suited for a college senior or first year graduate course in bioengineering, physiology or biophysics. I recommend it.'
James C. Lin, Professor of Bioengineering, University of Illinois at Chicago

`The new book....is a delight to read. It is well organized, packed with useful analytical tools, and replete with relevant biomedical examples. Devasahayam is an articulate author who has taken pains to ensure that the material will be accessible to those with engineering as well as biological backgrounds. The book is highly recommended.'
Gerald H. Pollack, Professor of Bioengineering, University of Washington

`This book by Suresh R. Devasahayam is a wonderful introduction to signal processing and system modeling for students who are either pursuing or wished they had pursued a degree in biomedical engineering. The basic concepts of signal processing and system modeling are clearly explained and are elucidated with a number of exercises and applications.'
Carlo De Luca, Director Neuromuscular Research Center, Boston University

• School of Biomedical Engineering, Indian Institute of Technology, Bombay, India

  Suresh R. Devasahayam

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