Electromyography
Physiology, Engineering and Non-Invasive Applications
(Sprache: Englisch)
Electromyography is the branch of biomedical engineering and physiology that studies electrical signals generated by voluntary or electrically induced muscle activation. Bridging the gap between engineering and physiology, this pioneering volume explains...
Leider schon ausverkauft
versandkostenfrei
Buch (Gebunden)
57.50 €
28 DeutschlandCard Punkte
sammeln
- Lastschrift, Kreditkarte, Paypal, Rechnung
- Kostenlose Rücksendung
- Ratenzahlung möglich
Produktdetails
Produktinformationen zu „Electromyography “
Electromyography is the branch of biomedical engineering and physiology that studies electrical signals generated by voluntary or electrically induced muscle activation. Bridging the gap between engineering and physiology, this pioneering volume explains the essential concepts needed to detect, understand, process, and interpret EMG signals using noninvasive electrodes, also known as surface EMG. It covers noninvasive applications in such areas as neurology, ergonomics, exercise physiology, movement analysis, rehabilitation, biofeedback, and myoelectric control of prostheses.
Klappentext zu „Electromyography “
A complete overview of electromyography with contributions from pacesetters in the fieldIn recent years, insights from the field of engineering have illuminated the vast potential of electromyography (EMG) in biomedical technology. Featuring contributions from key innovators working in the field today, Electromyography reveals the broad applications of EMG data in areas as diverse as neurology, ergonomics, exercise physiology, rehabilitation, movement analysis, biofeedback, and myoelectric control of prosthesis.
Bridging the gap between engineering and physiology, this pioneering volume explains the essential concepts needed to detect, understand, process, and interpret EMG signals using non-invasive electrodes. Electromyography shows how engineering tools such as models and signal processing methods can greatly augment the insight provided by surface EMG signals. Topics covered include:
* Basic physiology and biophysics of EMG generation
* Needle and surface electrode detection techniques
* Signal conditioning and processing issues
* Single- and multi-channel techniques for information extraction
* Development and application of physical models
* Advanced signal processing techniques
With its fresh engineering perspective, Electromyography offers physiologists, medical professionals, and students in biomedical engineering a new window into the far-reaching possibilities of this dynamic technology.
Inhaltsverzeichnis zu „Electromyography “
Introduction.Contributors.
1 BASIC PHYSIOLOGY AND BIOPHYSICS OF EMG SIGNAL GENERATION ( T. Moritani, D. Stegeman, R. Merletti ).
1.1 Introduction.
1.2 Basic Physiology of Motor Control and Muscle Contraction.
1.3 Basic Electrophysiology of the Muscle Cell Membrane.
References.
2 NEEDLE AND WIRE DETECTION TECHNIQUES ( J. V. Trontelj, J. Jabre, M. Mihelin ).
2.1 Anatomical and Physiological Background of Intramuscular Recording.
2.2 Recording Characteristics of Needle Electrodes.
2.3 Conventional Needle EMG.
2.4 Special Needle Recording Techniques.
2.5 Physical Characteristics of Needle EMG Signals.
2.6 Recording Equipment.
References.
3 DECOMPOSITION OF INTRAMUSCULAR EMG SIGNALS ( D. W. Stashuk, D. Farina, K. Søgaard ).
3.1 Introduction.
3.2 Basic Steps for EMG Signal Decomposition.
3.3 Evaluation of Performance of EMG Signal Decomposition Algorithms.
3.4 Applications of Results of the Decomposition of an Intramuscular EMG Signal.
3.5 Conclusions.
References.
4 BIOPHYSICS OF THE GENERATION OF EMG SIGNALS ( D. Farina, R. Merletti, D. F. Stegeman ).
4.1 Introduction.
4.2 EMG Signal Generation.
4.3 Crosstalk.
4.4 Relationships between Surface EMG Features and Developed Force.
4.5 Conclusions.
References.
5 DETECTION AND CONDITIONING OF THE SURFACE EMG SIGNAL ( R. Merletti, H. Hermens ).
5.1 Introduction.
5.2 Electrodes: Their Transfer Function.
5.3 Electrodes: Their Impedance, Noise, and dc Voltages.
5.4 Electrode Configuration, Distance, Location.
5.5 EMG Front-End Amplifiers.
5.6 EMG Filters: Specifications.
5.7 Sampling and A/D Conversion.
5.8 European Recommendations on Electrodes and Electrode Locations.
References.
6 SINGLE-CHANNEL TECHNIQUES FOR INFORMATION EXTRACTION FROM THE SURFACE EMG SIGNAL ( E. A. Clancy, D. Farina, G. Filligoi ).
6.1 Introduction.
6.2 Spectral Estimation of Deterministic Signals and Stochastic Processes.
6.3 Basic
... mehr
Surface EMG Signal Models.
6.4 Surface EMG Amplitude Estimation.
6.5 Extraction of Information in Frequency Domain from Surface EMG Signals.
6.6 Joint Analysis of EMG Spectrum and Amplitude (JASA).
6.7 Recurrence Quantification Analysis of Surface EMG Signals.
6.8 Conclusions.
References.
7 MULTI-CHANNEL TECHNIQUES FOR INFORMATION EXTRACTION FROM THE SURFACE EMG ( D. Farina, R. Merletti, C. Disselhorst-Klug ).
7.1 Introduction.
7.2 Spatial Filtering.
7.3 Spatial Sampling.
7.4 Estimation of Muscle-Fiber Conduction Velocity.
7.5 Conclusions.
References.
8 EMG MODELING AND SIMULATION ( D. F. Stegeman, R. Merletti, H. J. Hermens ).
8.1 Introduction.
8.2 Phenomenological Models of EMG.
8.3 Elements of Structure-Based SEMG Models.
8.4 Basic Assumptions.
8.5 Elementary Sources of Bioelectric Muscle Activity.
8.6 Fiber Membrane Activity Profiles, Their Generation, Propagation, and Extinction.
8.7 Structure of the Motor Unit.
8.8 Volume Conduction.
8.9 Modeling EMG Detection Systems.
8.10 Modeling Motor Unit Recruitment and Firing Behavior.
8.11 Inverse Modeling.
8.12 Modeling of Muscle Fatigue.
8.13 Other Applications of Modeling.
8.14 Conclusions.
References.
9 MYOELECTRIC MANIFESTATIONS OF MUSCLE FATIGUE ( R. Merletti, A. Rainoldi, D. Farina ).
9.1 Introduction.
9.2 Definitions and Sites of Neuromuscular Fatigue.
9.3 Assessment of Muscle Fatigue.
9.4 How Fatigue Is Reflected in Surface EMG Variables.
9.5 Myoelectric Manifestations of Muscle Fatigue in Isometric Voluntary Contractions.
9.6 Fiber Typing and Myoelectric Manifestations of Muscle Fatigue.
9.7 Factors Affecting Surface EMG Variable.
9.8 Repeatability of Estimates of EMG Variables and Fatigue Indexes.
9.9 Conclusions.
References.
10 ADVANCED SIGNAL PROCESSING TECHNIQUES ( D. Zazula, S. Karlsson, C. Doncarli ).
10.1 Introduction.
10.2 Theoretical Background.
10.3 Decomposition of EMG
6.4 Surface EMG Amplitude Estimation.
6.5 Extraction of Information in Frequency Domain from Surface EMG Signals.
6.6 Joint Analysis of EMG Spectrum and Amplitude (JASA).
6.7 Recurrence Quantification Analysis of Surface EMG Signals.
6.8 Conclusions.
References.
7 MULTI-CHANNEL TECHNIQUES FOR INFORMATION EXTRACTION FROM THE SURFACE EMG ( D. Farina, R. Merletti, C. Disselhorst-Klug ).
7.1 Introduction.
7.2 Spatial Filtering.
7.3 Spatial Sampling.
7.4 Estimation of Muscle-Fiber Conduction Velocity.
7.5 Conclusions.
References.
8 EMG MODELING AND SIMULATION ( D. F. Stegeman, R. Merletti, H. J. Hermens ).
8.1 Introduction.
8.2 Phenomenological Models of EMG.
8.3 Elements of Structure-Based SEMG Models.
8.4 Basic Assumptions.
8.5 Elementary Sources of Bioelectric Muscle Activity.
8.6 Fiber Membrane Activity Profiles, Their Generation, Propagation, and Extinction.
8.7 Structure of the Motor Unit.
8.8 Volume Conduction.
8.9 Modeling EMG Detection Systems.
8.10 Modeling Motor Unit Recruitment and Firing Behavior.
8.11 Inverse Modeling.
8.12 Modeling of Muscle Fatigue.
8.13 Other Applications of Modeling.
8.14 Conclusions.
References.
9 MYOELECTRIC MANIFESTATIONS OF MUSCLE FATIGUE ( R. Merletti, A. Rainoldi, D. Farina ).
9.1 Introduction.
9.2 Definitions and Sites of Neuromuscular Fatigue.
9.3 Assessment of Muscle Fatigue.
9.4 How Fatigue Is Reflected in Surface EMG Variables.
9.5 Myoelectric Manifestations of Muscle Fatigue in Isometric Voluntary Contractions.
9.6 Fiber Typing and Myoelectric Manifestations of Muscle Fatigue.
9.7 Factors Affecting Surface EMG Variable.
9.8 Repeatability of Estimates of EMG Variables and Fatigue Indexes.
9.9 Conclusions.
References.
10 ADVANCED SIGNAL PROCESSING TECHNIQUES ( D. Zazula, S. Karlsson, C. Doncarli ).
10.1 Introduction.
10.2 Theoretical Background.
10.3 Decomposition of EMG
... weniger
Autoren-Porträt von Roberto Merletti, Philip Parker
Roberto Merletti, PhD, is Director of the Laboratory for Engineering of the Neuromuscular System at Politecnico di Torino, Italy, and coordinator of neuromuscular research projects for the European Community and European Space Agency. He is author or coauthor of two books and more than fifty journal articles and received his doctoral degree from The Ohio State University.Philip A. Parker, PhD, is Professor of Electrical Engineering at the University of New Brunswick, Canada, where he received his doctoral degree. He has authored or coauthored three book chapters and more than fifty journal articles.
Bibliographische Angaben
- Autoren: Roberto Merletti , Philip Parker
- 2004, 1. Auflage, 520 Seiten, Gebunden, Englisch
- Verlag: Wiley & Sons
- ISBN-10: 0471675806
- ISBN-13: 9780471675808
Sprache:
Englisch
Pressezitat
"...the best single reference book currently available in the field..." ( Annals of Biomedical Engineering , November 2005)"...the authors successfully reported...the unknown aspects of electromyography, in particular the non-invasive approaches to the neurophysiological monitoring of the central nervous system." ( Doody s Health Services )
Kommentar zu "Electromyography"
0 Gebrauchte Artikel zu „Electromyography“
| Zustand | Preis | Porto | Zahlung | Verkäufer | Rating |
|---|
Schreiben Sie einen Kommentar zu "Electromyography".
Kommentar verfassen