<p>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 a
Signals and Systems in Biomedical Engineering: Signal Processing and Physiological Systems Modeling
โ Scribed by Suresh R. Devasahayam (auth.)
- Publisher
- Springer US
- Year
- 2000
- Tongue
- English
- Leaves
- 350
- Series
- Topics in Biomedical Engineering International Book Series
- Category
- Library
No coin nor oath required. For personal study only.
โฆ Table of Contents
Front Matter....Pages i-xvi
Introduction to Systems Analysis and Numerical Methods....Pages 1-9
Continuous Time Signals and Systems....Pages 11-30
Fourier Analysis for Continuous Time Processes....Pages 31-66
Discrete Time Signals and Systems....Pages 67-100
Fourier Analysis for Discrete-Time Processes....Pages 101-138
Time-Frequency and Wavelet Analysis....Pages 139-164
Estimation of Signals in Noise....Pages 165-180
Feedback Systems....Pages 181-196
Model Based Analysis of Physiological Signals....Pages 197-208
Modeling the Nerve Action Potential....Pages 209-234
Modeling Skeletal Muscle Contraction....Pages 235-266
Modeling Myoelectric Activity....Pages 267-294
System Identification in Physiology....Pages 295-308
Modeling the Cardiovascular System....Pages 309-320
A Model of the Immune Response to Disease....Pages 321-328
Back Matter....Pages 329-337
โฆ Subjects
Biomedical Engineering;Signal, Image and Speech Processing;Biophysics and Biological Physics;Electrical Engineering
๐ SIMILAR VOLUMES
<p><p></p><p>Physiology is a set of processes that maintain homeostasis, and physiological measurement is a means of observing these processes. Systems theory and signal processing offer formal tools for the study of processes and measured quantities. </p><p>This book shows that systems modeling can
<p>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 t
A biomedical engineering perspective on the theory, methods, and applications of signal processing. This book provides a unique framework for understanding signal processing of biomedical signals and what it tells us about signal sources and their behavior in response to perturbation. Using a modeli