Electromyography: Physiology, Engineering, and Noninvasive Applications

Description

A complete overview of electromyography with contributions from pacesetters in the field In 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.Content: Chapter 1 Basic Physiology and Biophysics of EMG Signal Generation (pages 1–25): T. Moritani, D. Stegeman and R. MerlettiChapter 2 Needle and Wire Detection Techniques (pages 27–46): J. V. Trontelj, J. Jabre and M. MihelinChapter 3 Decomposition of Intramuscular EMG Signals (pages 47–80): D. W. Stashuk, D. Farina and K. SogaardChapter 4 Biophysics of the Generation of EMG Signals (pages 81–105): D. Farina, R. Merletti and D. F. StegemanChapter 5 Detection and Conditioning of the Surface EMG Signal (pages 107–131): R. Merletti and H. J. HermensChapter 6 Single?Channel Techniques for Information Extraction from the Surface EMG Signal (pages 133–168): E. A. Clancy, D. Farina and G. FilligoiChapter 7 Multi?Channel Techniques for Information Extraction from the Surface EMG (pages 169–203): D. Farina, R. Merletti and C. Disselhorst?KlugChapter 8 EMG Modeling and Simulation (pages 205–231): D. F. Stegeman, R. Merletti and H. J. HermensChapter 9 Myoelectric Manifestations of Muscle Fatigue (pages 233–258): R. Merletti, A. Rainoldi and D. FarinaChapter 10 Advanced Signal Processing Techniques (pages 259–304): D. Zazula, S. Karlsson and C. DoncarliChapter 11 Surface Mechanomyogram (pages 305–322): C. OrizioChapter 12 Surface EMG Applications in Neurology (pages 323–342): M. J. Zwarts, D. F. Stegeman and J. G. van DijkChapter 13 Applications in Ergonomics (pages 343–363): G. M. Hagg, B. Melin and R. KadeforsChapter 14 Applications in Exercise Physiology (pages 365–379): F. FeliciChapter 15 Applications in Movement and Gait Analysis (pages 381–401): C. Frigo and R. ShiaviChapter 16 Applications in Rehabilitation Medicine and Related Fields (pages 403–433): A. Rainoldi, R. Casale, P. Hodges and G. JullChapter 17 Biofeedback Applications (pages 435–451): J. R. CramChapter 18 Control of Powered Upper Limb Prostheses (pages 453–475): P. A. Parker, K. B. Englehart and B. S. Hudgins