Signals and Systems for Bioengineers

2nd Edition

A MATLAB-Based Introduction

Authors: John Semmlow
Hardcover ISBN: 9780123849823
eBook ISBN: 9780123849830
Imprint: Academic Press
Published Date: 22nd September 2011
Page Count: 604
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Table of Contents

  • Acknowledgements
  • Preface to the Second Edition
  • Chapter 1. The Big Picture
    • 1.1. Biological Systems
    • 1.2. Biosignals
    • 1.3. Noise
    • 1.4. Signal Properties—Basic Measurements
    • 1.5. Summary

  • Chapter 2. Basic Concepts in Signal Processing
    • 2.1. Basic Signals—The Sinusoidal Waveform
    • 2.2. More Basic Signals—Periodic, Aperiodic, and Transient
    • 2.3. Two-Dimensional Signals—Images
    • 2.4. Signal Comparisons and Transformations
    • 2.5. Summary

  • Chapter 3. Fourier Transform
    • 3.1. Time- and Frequency-Domain Signal Representations
    • 3.2. Fourier Series Analysis
    • 3.3. Frequency Representation
    • 3.4. Complex Representation
    • 3.5. The Continuous Fourier Transform
    • 3.6. Discrete Data: The Discrete Fourier Series and Discrete Fourier Transform
    • 3.7. MATLAB Implementation of the Discrete Fourier Transform (DFT)
    • 3.8. Summary

  • Chapter 4. The Fourier Transform and Power Spectrum
    • 4.1. Data Acquisition and Storage
    • 4.2. Power Spectrum
    • 4.3. Spectral Averaging
    • 4.4. Stationarity and Time-Frequency Analysis
    • 4.5. Signal Bandwidth
    • 4.6. Summary

  • Chapter 5. Linear Systems in the Frequency Domain
    • 5.1. Linear Signal Analysis—An Overview
    • 5.2. The Response of System Elements to Sinusoidal Inputs—Phasor Analysis
    • 5.3. The Transfer Function
    • 5.4. Transfer Function Spectral Plots—The Bode Plot
    • 5.5. Bode Plots Combining Multiple Elements
    • 5.6. The Transfer Function and the Fourier Transform
    • 5.7. Summary

  • Chapter 6. Linear Systems Analysis in the Complex Frequency Domain
    • 6.1. The Laplace Transform
    • 6.2. Laplace Analysis—The Laplace Transfer Function
    • 6.3. Nonzero Initia


Signals and Systems for Bioengineers guides the reader through the electrical engineering principles that can be applied to biological systems and are therefore important to biomedical studies. The basic engineering concepts that underlie biomedical systems, medical devices, biocontrol, and biosignal analysis are explained in detail.

This textbook is perfect for the one-semester bioengineering course usually offered in conjunction with a laboratory on signals and measurements which presents the fundamentals of systems and signal analysis. The target course occupies a pivotal position in the bioengineering curriculum and will play a critical role in the future development of bioengineering students.

Key Features

  • Reorganized to emphasize signal and system analysis
  • Increased coverage of time-domain signal analysis
  • Expanded coverage of biomeasurement, using examples in ultrasound and electrophysiology
  • New applications in biocontrol, with examples from physiological systems modeling such as the respiratory system
  • Double the number of Matlab and non-Matlab exercises to provide ample practice solving problems - by hand and with computational tools
  • More Biomedical and real-world examples
  • More biomedical figures throughout


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


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© Academic Press 2012
Academic Press
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About the Authors

John Semmlow Author

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.

Affiliations and Expertise

Rutgers University and Robert Wood Johnson Medical School-University of Medicine & Dentistry of New Jersey, New Brunswick, USA