Ebook: Signals and Systems in Biomedical Engineering: Signal Processing and Physiological Systems Modeling

The use of digital signal processing is ubiquitous in the field of physiology and biomedical engineering. The application of such mathematical and computational tools requires a formal or explicit understanding of physiology. Formal models and analytical techniques are interlinked in physiology as in any other field. This book takes a unitary approach to physiological systems, beginning with signal measurement and acquisition, followed by signal processing, linear systems modelling, and computer simulations. The signal processing techniques range across filtering, spectral analysis and wavelet analysis. Emphasis is placed on fundamental understanding of the concepts as well as solving numerical problems. Graphs and analogies are used extensively to supplement the mathematics. Detailed models of nerve and muscle at the cellular and systemic levels provide examples for the mathematical methods and computer simulations. Several of the models are sufficiently sophisticated to be of value in understanding real world issues like neuromuscular disease. This second edition features expanded problem sets and a link to extra downloadable material.

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The use of digital signal processing is ubiquitous in the field of physiology and biomedical engineering. The application of such mathematical and computational tools requires a formal or explicit understanding of physiology. Formal models and analytical techniques are interlinked in physiology as in any other field. This book takes a unitary approach to physiological systems, beginning with signal measurement and acquisition, followed by signal processing, linear systems modelling, and computer simulations. The signal processing techniques range across filtering, spectral analysis and wavelet analysis. Emphasis is placed on fundamental understanding of the concepts as well as solving numerical problems. Graphs and analogies are used extensively to supplement the mathematics. Detailed models of nerve and muscle at the cellular and systemic levels provide examples for the mathematical methods and computer simulations. Several of the models are sufficiently sophisticated to be of value in understanding real world issues like neuromuscular disease.

This second edition features expanded problem sets and a link to extra downloadable material.

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The use of digital signal processing is ubiquitous in the field of physiology and biomedical engineering. The application of such mathematical and computational tools requires a formal or explicit understanding of physiology. Formal models and analytical techniques are interlinked in physiology as in any other field. This book takes a unitary approach to physiological systems, beginning with signal measurement and acquisition, followed by signal processing, linear systems modelling, and computer simulations. The signal processing techniques range across filtering, spectral analysis and wavelet analysis. Emphasis is placed on fundamental understanding of the concepts as well as solving numerical problems. Graphs and analogies are used extensively to supplement the mathematics. Detailed models of nerve and muscle at the cellular and systemic levels provide examples for the mathematical methods and computer simulations. Several of the models are sufficiently sophisticated to be of value in understanding real world issues like neuromuscular disease.

This second edition features expanded problem sets and a link to extra downloadable material.

Content:
Front Matter....Pages i-xvi
Introduction....Pages 1-12
Signal Measurement....Pages 13-25
Signals and Systems Basics....Pages 27-63
Signal Filtering and System Control....Pages 65-94
Digitization and Discrete Systems....Pages 95-120
Discrete Signal Processing....Pages 121-171
Numerical Methods and Geometry for Graphics....Pages 173-183
Nerve Action Potentials....Pages 185-210
External Stimulation of Excitable Tissue....Pages 211-224
Skeletal Muscle Contraction....Pages 225-252
The Electromyogram....Pages 253-279
Neuromuscular Control....Pages 281-295
Neural Firing Rate Analysis....Pages 297-317
Immune Response to Infection....Pages 319-326
Linear Model of Blood Flow....Pages 327-335
Back Matter....Pages 337-389

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The use of digital signal processing is ubiquitous in the field of physiology and biomedical engineering. The application of such mathematical and computational tools requires a formal or explicit understanding of physiology. Formal models and analytical techniques are interlinked in physiology as in any other field. This book takes a unitary approach to physiological systems, beginning with signal measurement and acquisition, followed by signal processing, linear systems modelling, and computer simulations. The signal processing techniques range across filtering, spectral analysis and wavelet analysis. Emphasis is placed on fundamental understanding of the concepts as well as solving numerical problems. Graphs and analogies are used extensively to supplement the mathematics. Detailed models of nerve and muscle at the cellular and systemic levels provide examples for the mathematical methods and computer simulations. Several of the models are sufficiently sophisticated to be of value in understanding real world issues like neuromuscular disease.

This second edition features expanded problem sets and a link to extra downloadable material.

Content:
Front Matter....Pages i-xvi
Introduction....Pages 1-12
Signal Measurement....Pages 13-25
Signals and Systems Basics....Pages 27-63
Signal Filtering and System Control....Pages 65-94
Digitization and Discrete Systems....Pages 95-120
Discrete Signal Processing....Pages 121-171
Numerical Methods and Geometry for Graphics....Pages 173-183
Nerve Action Potentials....Pages 185-210
External Stimulation of Excitable Tissue....Pages 211-224
Skeletal Muscle Contraction....Pages 225-252
The Electromyogram....Pages 253-279
Neuromuscular Control....Pages 281-295
Neural Firing Rate Analysis....Pages 297-317
Immune Response to Infection....Pages 319-326
Linear Model of Blood Flow....Pages 327-335
Back Matter....Pages 337-389
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