The first edition of this text, based on the author 's 30 years
of teaching and research on neurosensory systems, helped biomedical
engineering students and professionals strengthen their skills in
the common network of applied mathematics that ties together the
diverse disciplines that comprise this field. Updated and revised
to include new material as the field has grown, Signals and Systems
Analysis in Biomedical Engineering, Second Edition continues to
provide a ready source of information on those specialized
mathematical techniques most useful in describing and analyzing
biomedical signals.
New chapters on nonlinear and complex systems
Enriched with many examples that promote sound practical
analysis, this volume covers classical linear systems theory and
its applications to biomedicine. It examines the important use of
joint time-frequency analysis to characterize non-stationary
physiological signals, and explores the mathematics of tomographic
imaging (the Radon transform, the Fourier slice theorem, and the
filtered back-projection algorithm). It also describes the
analytical signal and the Hilbert transform and some of its
biomedical applications. New chapters in this edition include one
on the analysis of nonlinear biochemical systems and biochemical
oscillators, as well as one introducing complex systems and
illustrating ways to best model them.
Four appendices with additional material
Extensive appendices supplement the text, including "Simnon
Programs Used in Chapters 11 and 12," "How to use Root Locus to
Determine the Stability of SISO Linear Systems," "Signal Flow
Graphs and Mason 's Rule," and "Computational Tools for Biomedical
Signal Processing and Systems Analysis." An extensive glossary is
included as well as an ample listing of sources for further
study.
A solutions manual is avaialble for instructors wishing to
convert this refrence to classroom use.
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