Signals and systems in biomedical engineering: signal processing and physiological systems modeling
<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 physio...
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
New York, NY [u.a.]
Springer
2013
|
| Ausgabe: | 2. ed. |
| Schlagworte: | |
| Online-Zugang: | Inhaltsverzeichnis |
| Zusammenfassung: | <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 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. </p><p>This second edition features expanded problem sets and a link to extra downloadable material.</p> |
| Beschreibung: | Introduction -- Signal Measurement -- Signals and Systems Basics -- Signal Filtering and System Control -- Digitization and Discrete Systems -- Discrete Signal Processing -- Numerical Methods and Geometry for Graphics -- Nerve Action Potentials -- External Stimulation of Excitable Tissue -- Skeletal Muscle Contraction -- The Electromyogram -- Neuromuscular Control -- Neural Firing Rate Analysis -- Immune Response to Infection -- Linear Model of Blood Flow -- Appendix: Data Acquisition and Real-Time Signal Processing -- Description of Computer Demonstrations -- Further Reading -- Solutions to Exercises -- Index |
| Beschreibung: | XIV, 389 p. graph. Darst. |
| ISBN: | 1461453313 9781461453314 |
Internformat
MARC
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| 245 | 1 | 0 | |a Signals and systems in biomedical engineering |b signal processing and physiological systems modeling |c Suresh R. Devasahayam |
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| 500 | |a Introduction -- Signal Measurement -- Signals and Systems Basics -- Signal Filtering and System Control -- Digitization and Discrete Systems -- Discrete Signal Processing -- Numerical Methods and Geometry for Graphics -- Nerve Action Potentials -- External Stimulation of Excitable Tissue -- Skeletal Muscle Contraction -- The Electromyogram -- Neuromuscular Control -- Neural Firing Rate Analysis -- Immune Response to Infection -- Linear Model of Blood Flow -- Appendix: Data Acquisition and Real-Time Signal Processing -- Description of Computer Demonstrations -- Further Reading -- Solutions to Exercises -- Index | ||
| 520 | |a <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 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. </p><p>This second edition features expanded problem sets and a link to extra downloadable material.</p> | ||
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| 650 | 7 | |a Physiologie - Modèles mathématiques |2 ram | |
| 650 | 7 | |a Traitement du signal |2 ram | |
| 650 | 4 | |a Ingenieurwissenschaften | |
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| 650 | 4 | |a Engineering | |
| 650 | 4 | |a Computer engineering | |
| 650 | 4 | |a Biomedical engineering | |
| 650 | 4 | |a Biomedical Engineering | |
| 650 | 4 | |a Models, Biological | |
| 650 | 4 | |a Models, Theoretical | |
| 650 | 4 | |a Physiology |x Mathematical models | |
| 650 | 4 | |a Signal Processing, Computer-Assisted | |
| 650 | 4 | |a Signal processing | |
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| 999 | |a oai:aleph.bib-bvb.de:BVB01-025969141 | ||
Datensatz im Suchindex
| _version_ | 1804150314378461184 |
|---|---|
| adam_text | Contents
Introduction
................................................................. 1
1.1
Measurement, Analysis, Modeling, and Simulation
................ 2
1.2
Interference and Noise
............................................... 5
1.3
Systems Modeling and Model-Based Analysis
..................... 6
1.4
Simulation of Systems and Virtual Experiments
.................... 8
1.5
The
ECG
as Model-Based Measurement
........................... 9
1.6
Exercises
.............................................................. 11
Signal Measurement
........................................................ 13
2.1
Physiological Measurement
.......................................... 13
2.2
Static Characteristics of Transducers: Linearity
.................... 16
2.3
Noise and Interference
............................................... 19
2.4
Dynamic Characteristics of Transducers
............................ 20
2.5
Transduction and Measurement Case Study
........................ 23
2.6
Exercises
.............................................................. 23
Signals and Systems Basics
................................................ 27
3.1
Time Domain Signals and Systems
.................................. 27
3.2
Linear Systems: Impulse Response
.................................. 31
3.3
Frequency Decomposition of Signals
............................... 39
3.4
Frequency Response and Pole-Zero plots
.......................... 50
3.5
Random Signals
...................................................... 57
3.6
Exercises
.............................................................. 61
Signal Filtering and System Control
..................................... 65
4.1
Frequency Filters and Optimal Filtering
............................ 66
4.2
Standard Filters: LPF, HPF, BPF, BSF
.............................. 73
4.3
Realization of Simple Filters
........................................ 80
4.4
Ensemble Averaging
................................................. 84
4.5
Feedback Control Systems
........................................... 86
4.6
Exercises
.............................................................. 91
Contents
4.7 Programming
Exercise...............................................
93
4.7.1
Introduction
to Graphics for Signal Analysis
............. 93
Digitization and Discrete Systems
........................................ 95
5.1
Sampling
.............................................................. 96
5.2
Quantization
.......................................................... 102
5.3
Reconstruction Methods
............................................. 105
5.4
Discrete Systems
..................................................... 106
5.5
Discretization of Systems
........................................... 112
5.6
Exercises
.............................................................. 116
5.7
Programming Exercises
.............................................. 118
5.7.1
Discrete Convolution
....................................... 118
5.7.2
Digital Filtering
............................................. 119
Discrete Signal Processing
................................................. 121
6.1
Digital Filtering and System Identification
......................... 122
6.2
Discrete Fourier Transform
.......................................... 128
6.2.1
Summary of Fourier Transforms
........................... 141
6.3
Power Spectrum and Short-Time Fourier Transform
............... 142
6.4
The Wavelet Transform
.............................................. 148
6.5
Time-Series Models
.................................................. 159
6.6
Exercises
.............................................................. 166
6.7
Programming Exercises
.............................................. 168
6.7.1
Discrete Fourier Transform
................................ 168
6.7.2
Data Interpolation Using the Fourier Transform
.......... 169
6.7.3
Power Spectrum
............................................ 171
Numerical Methods and Geometry for Graphics
....................... 173
7.1
Introduction to Computer Simulations
.............................. 173
7.2
Computer Graphics, Drawing Graphs
............................... 175
7.3
Geometry of
3-D
Projections
........................................ 177
7.4
Animation of Graphs and Images
................................... 181
7.5
Virtual Experiments
.................................................. 182
7.6
Exercises
.............................................................. 183
Nerve Action Potentials
.................................................... 185
8.1
Nerve Excitation and Propagation
................................... 185
8.2
The Hodgkin-Huxley Model
........................................ 188
8.3
Fluctuation Analysis
................................................. 196
8.4
Nerve AP Propagation
............................................... 200
8.5
Simulating the Action Potential
..................................... 203
8.6
Exercises
.............................................................. 205
8.7
Programming Exercises
.............................................. 205
8.7.1
The Hodgkin-Huxley Model
............................... 205
8.7.2
The Propagating Action Potential
.......................... 208
Contents xiii
9
External
Stimulation
of Excitable Tissue
................................ 211
9.1
Stimulation of Nerves in Tissue
..................................... 211
9.2
Strength-Duration and Recruitment Curves
......................... 213
9.3
Electrical Stimulation
................................................ 214
9.4
Magnetic Stimulation
................................................ 219
9.5
Collision Techniques in Neurological Testing
...................... 222
9.6
Exercises
.............................................................. 224
10
Skeletal Muscle Contraction
.............................................. 225
10.1
Skeletal Muscle Behavior Structure and Organization
............. 225
10.2
The Sliding Filament Model
......................................... 230
10.3
Force Generation: Huxley s Model
.................................. 238
10.4
Linearization of the Muscle Model
.................................. 244
10.5
Applications of Skeletal Muscle Modeling
......................... 248
10.6
Exercises
.............................................................. 250
10.7
Programming Exercise
............................................... 251
10.7.1
Skeletal Muscle model
..................................... 251
11
The Electromyogram
....................................................... 253
11.1
Recording Myoelectric Signals
...................................... 254
11.2
Electrode Transfer Function
......................................... 257
1 1.3
Motor Unit Action Potential
......................................... 263
11.4
Voluntary EMG Model
............................................... 269
11.5
EMG Analysis
........................................................ 270
11.6
Exercises
.............................................................. 276
11.7
Programming Exercise
............................................... 277
11.7.1
EMG Model
................................................. 277
12
Neuromuscular Control
.................................................... 281
12.1
Neuromuscular Reflex
............................................... 281
12.2
Unit of Movement: Two Muscle Joint
............................... 285
12.3
Modeling Reflex Control of Movement
............................. 287
12.4
Movement Analysis
.................................................. 292
12.5
Understanding Pathology Using Neuromuscular
Control Models
....................................................... 293
12.6
Exercises
.............................................................. 294
13
Neural Firing Rate Analysis
............................................... 297
13.1
Neural Information Transmission
................................... 297
13.2
Pulse Sequences and Modulation Theory
........................... 299
13.3
Estimating Firing Rate
............................................... 306
13.4
Spike Detection and Demodulation
................................. 311
13.5
Applications of Firing Rate Demodulation
......................... 314
1
3.6
Exercises
.............................................................. 317
14
Immune Response to Infection
............................................ 319
14.1
The Immune Response
............................................... 319
xiv Contents
14.2
Linearized
Model
of the Immune Response
........................ 321
14.3
System Equations for the Immune Response
....................... 323
14.4
Stability
............................................................... 324
14.5
Extending the Model
................................................. 325
14.6
Exercises
.............................................................. 325
15
Linear Model of Blood Flow
............................................... 327
15.1
The Cardiovascular System
.......................................... 327
15.2
Modeling Blood Flow
................................................ 328
15.3
Electrical Analogue of Fluid Parameters
............................ 330
15.4
Model of Coronary Circulation
...................................... 332
15.5
Applications of Cardiovascular Modeling
.......................... 332
15.6
Exercises
.............................................................. 334
Appendix: Data Acquisition and Real-Time Signal Processing
............. 337
Description of Computer Demonstrations
..................................... 341
Further Reading
.................................................................. 351
Solutions to Exercises
............................................................ 355
Index
............................................................................... 385
|
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| indexdate | 2024-07-10T00:36:57Z |
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| isbn | 1461453313 9781461453314 |
| language | English |
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| spelling | Devasahayam, Suresh R. Verfasser aut Signals and systems in biomedical engineering signal processing and physiological systems modeling Suresh R. Devasahayam 2. ed. New York, NY [u.a.] Springer 2013 XIV, 389 p. graph. Darst. txt rdacontent n rdamedia nc rdacarrier Introduction -- Signal Measurement -- Signals and Systems Basics -- Signal Filtering and System Control -- Digitization and Discrete Systems -- Discrete Signal Processing -- Numerical Methods and Geometry for Graphics -- Nerve Action Potentials -- External Stimulation of Excitable Tissue -- Skeletal Muscle Contraction -- The Electromyogram -- Neuromuscular Control -- Neural Firing Rate Analysis -- Immune Response to Infection -- Linear Model of Blood Flow -- Appendix: Data Acquisition and Real-Time Signal Processing -- Description of Computer Demonstrations -- Further Reading -- Solutions to Exercises -- Index <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 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. </p><p>This second edition features expanded problem sets and a link to extra downloadable material.</p> Biotechnologie ram Physiologie - Modèles mathématiques ram Traitement du signal ram Ingenieurwissenschaften Mathematisches Modell Engineering Computer engineering Biomedical engineering Biomedical Engineering Models, Biological Models, Theoretical Physiology Mathematical models Signal Processing, Computer-Assisted Signal processing Biosignalverarbeitung (DE-588)4006899-7 gnd rswk-swf Biosignalverarbeitung (DE-588)4006899-7 s DE-604 Erscheint auch als Online-Ausgabe 978-1-4614-5332-1 Digitalisierung UB Regensburg application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=025969141&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
| spellingShingle | Devasahayam, Suresh R. Signals and systems in biomedical engineering signal processing and physiological systems modeling Biotechnologie ram Physiologie - Modèles mathématiques ram Traitement du signal ram Ingenieurwissenschaften Mathematisches Modell Engineering Computer engineering Biomedical engineering Biomedical Engineering Models, Biological Models, Theoretical Physiology Mathematical models Signal Processing, Computer-Assisted Signal processing Biosignalverarbeitung (DE-588)4006899-7 gnd |
| subject_GND | (DE-588)4006899-7 |
| title | Signals and systems in biomedical engineering signal processing and physiological systems modeling |
| title_auth | Signals and systems in biomedical engineering signal processing and physiological systems modeling |
| title_exact_search | Signals and systems in biomedical engineering signal processing and physiological systems modeling |
| title_full | Signals and systems in biomedical engineering signal processing and physiological systems modeling Suresh R. Devasahayam |
| title_fullStr | Signals and systems in biomedical engineering signal processing and physiological systems modeling Suresh R. Devasahayam |
| title_full_unstemmed | Signals and systems in biomedical engineering signal processing and physiological systems modeling Suresh R. Devasahayam |
| title_short | Signals and systems in biomedical engineering |
| title_sort | signals and systems in biomedical engineering signal processing and physiological systems modeling |
| title_sub | signal processing and physiological systems modeling |
| topic | Biotechnologie ram Physiologie - Modèles mathématiques ram Traitement du signal ram Ingenieurwissenschaften Mathematisches Modell Engineering Computer engineering Biomedical engineering Biomedical Engineering Models, Biological Models, Theoretical Physiology Mathematical models Signal Processing, Computer-Assisted Signal processing Biosignalverarbeitung (DE-588)4006899-7 gnd |
| topic_facet | Biotechnologie Physiologie - Modèles mathématiques Traitement du signal Ingenieurwissenschaften Mathematisches Modell Engineering Computer engineering Biomedical engineering Biomedical Engineering Models, Biological Models, Theoretical Physiology Mathematical models Signal Processing, Computer-Assisted Signal processing Biosignalverarbeitung |
| url | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=025969141&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
| work_keys_str_mv | AT devasahayamsureshr signalsandsystemsinbiomedicalengineeringsignalprocessingandphysiologicalsystemsmodeling |