Surface electromyography : (Record no. 74449)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 09029nam a2201489 i 4500 |
| 001 - CONTROL NUMBER | |
| control field | 7470984 |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20220712205930.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 160607s2008 njua ob 001 eng d |
| 019 ## - | |
| -- | 946105335 |
| -- | 946787468 |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| ISBN | 1119082935 |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| ISBN | 9781119082934 |
| -- | electronic |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| -- | |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| -- | electronic bk. |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| -- | electronic bk. |
| 082 04 - CLASSIFICATION NUMBER | |
| Call Number | 616.7407547 |
| 245 00 - TITLE STATEMENT | |
| Title | Surface electromyography : |
| Sub Title | physiology, engineering, and applications / |
| 300 ## - PHYSICAL DESCRIPTION | |
| Number of Pages | 1 PDF : |
| 490 1# - SERIES STATEMENT | |
| Series statement | IEEE Press Series on Biomedical Engineering |
| 505 0# - FORMATTED CONTENTS NOTE | |
| Remark 2 | Series Page; Title Page; Copyright; Introduction; Acknowledgments; Contributors; Chapter 1: Physiology of Muscle Activation and Force Generation; 1.1 Introduction; 1.2 Anatomy of a Motor Unit; 1.3 Motor Neuron; 1.4 Muscle Unit; 1.5 Recruitment and Rate Coding; 1.6 Summary; References; Chapter 2: Biophysics of the Generation of EMG Signals; 2.1 Introduction; 2.2 EMG Signal Generation; 2.3 Anatomical, Physical, and Detection System Parameters Influencing EMG Features; 2.4 Crosstalk; 2.5 EMG Amplitude and Force; 2.6 Conclusion/Summary; References |
| 505 8# - FORMATTED CONTENTS NOTE | |
| Remark 2 | Chapter 3: Detection and Conditioning of Surface EMG Signals3.1 Introduction; 3.2 The Electrode-Skin Interface and the Front-End Amplifier Stage; 3.3 State of the Art on EMG Signal Conditioning and Interfacing Solutions; 3.4 ASIC Solutions on the Market; 3.5 Perspectives for the Future; References; Chapter 4: Single-Channel Techniques for Information Extraction from the Surface EMG Signal; 4.1 Introduction; 4.2 Spectral Estimation of Deterministic Signals and Stochastic Processes; 4.3 Basic Surface EMG Signal Models; 4.4 Surface EMG Amplitude Estimation |
| 505 8# - FORMATTED CONTENTS NOTE | |
| Remark 2 | 4.5 Extraction of Information in the Frequency Domain from Surface EMG Signals4.6 Conclusions; References; Chapter 5: Techniques for Information Extraction from the Surface EMG Signal: High-Density Surface EMG; 5.1 Introduction; 5.2 Spatial Distribution of EMG Potential and EMG Features in Muscles with Fibers Parallel to the Skin; 5.3 Spatial Distribution of EMG Potential and Features in Pinnate Muscles; 5.4 Current Applications and Future Perspectives of HDsEMG; References; Chapter 6: Muscle Coordination, Motor Synergies, and Primitives from Surface EMG; 6.1 Introduction |
| 505 8# - FORMATTED CONTENTS NOTE | |
| Remark 2 | 6.2 Muscle Synergies and Spinal Maps6.3 Muscle Synergies in Posture Control; 6.4 Modular Control of Arm Reaching Movements; 6.5 Motor Primitives in Human Locomotion; 6.6 Conclusions; References; Chapter 7: Surface EMG Decomposition; 7.1 Introduction; 7.2 EMG Mixing Process; 7.3 EMG Decomposition Techniques; 7.4 Validation of Decomposition; References; Chapter 8: EMG Modeling and Simulation; 8.1 Introduction; 8.2 Principles of Modeling and Simulation; 8.3 Phenomenological Surface EMG Models; 8.4 Structure-Based Surface EMG Models; 8.5 Modeling the Action Potential Source |
| 505 8# - FORMATTED CONTENTS NOTE | |
| Remark 2 | 8.6 Models of Volume Conduction and Detection Systems8.7 Models of the Surface EMG Signal; 8.8 Model Validation; 8.9 Applications of Modeling; 8.10 Conclusions; References; Chapter 9: Electromyography-Driven Modeling for Simulating Subject-Specific Movement at the Neuromusculoskeletal Level; 9.1 Introduction; 9.2 Motion Capturing and Biomechanical Modeling of the Human Body; 9.3 Musculoskeletal Modeling; 9.4 EMG-Driven Musculoskeletal Modeling and Simulation; 9.5 Experimental Results and Applications; 9.6 Conclusions; Acknowledgment; References |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc | Reflects on developments in noninvasive electromyography, and includes advances and applications in signal detection, processing, and interpretation The book presents a quantitative approach to the study and use of noninvasively detected electromyographic (EMG) signals, as well as their numerous applications in various aspects of the life sciences. Surface Electromyography: Physiology, Engineering, and Applications is an update of Electromyography: Physiology, Engineering, and Noninvasive Applications (Wiley-IEEE Press, 2004) and focuses on the developments that have taken place over the last decade. The first nine chapters deal with the generation, detection, understanding, interpretation, and modeling of EMG signals. Detection technology, with particular focus on EMG imaging techniques that are based on two-dimensional electrode arrays are also included in the first half of the book. The latter 11 chapters deal with applications, which range from monitoring muscle fatigue, electrically elicited contractions, posture analysis, prevention of work-related and child-delivery-related neuromuscular disorders, ergonomics, movement analysis, physical therapy, exercise physiology, and prosthesis control. . Addresses EMG imaging technology together with the issue of decomposition of surface EMG. Includes advanced single and multi-channel techniques for information extraction from surface EMG signals. Presents the analysis and information extraction of surface EMG at various scales, from motor units to the concept of muscle synergies. The book is aimed primarily to biomedical engineers, rehabilitation physicians, and movement scientists. However, it may be appreciated by neurophysiologists, and physical and occupational therapists with a background in physics, engineering, and signal processing. |
| 650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| Subject | Electromyography. |
| 650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| Subject | Muscles |
| General subdivision | Regeneration. |
| 650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| Subject | Electrodes. |
| 650 #7 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| Subject | Electrodes. |
| 650 #7 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| Subject | Electromyography. |
| 650 #7 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| Subject | Muscles |
| General subdivision | Regeneration. |
| 700 1# - AUTHOR 2 | |
| Author 2 | Merletti, Roberto, |
| 700 1# - AUTHOR 2 | |
| Author 2 | Farina, Dario, |
| 856 42 - ELECTRONIC LOCATION AND ACCESS | |
| Uniform Resource Identifier | https://ieeexplore.ieee.org/xpl/bkabstractplus.jsp?bkn=7470984 |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Koha item type | eBooks |
| 264 #1 - | |
| -- | Piscataway, New Jersey : |
| -- | IEEE Press, |
| -- | 2016. |
| 264 #2 - | |
| -- | [Piscataqay, New Jersey] : |
| -- | IEEE Xplore, |
| -- | [2016] |
| 336 ## - | |
| -- | text |
| -- | rdacontent |
| 337 ## - | |
| -- | electronic |
| -- | isbdmedia |
| 338 ## - | |
| -- | online resource |
| -- | rdacarrier |
| 588 0# - | |
| -- | Vendor-supplied metadata. |
| 695 ## - | |
| -- | Physiology |
| 695 ## - | |
| -- | Probes |
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| -- | Recruitment |
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| -- | Skin |
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| -- | Sociology |
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| -- | Space exploration |
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| -- | Spinal cord |
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| -- | Stochastic processes |
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| -- | Surface discharges |
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| -- | Surface impedance |
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| -- | Surface morphology |
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| -- | Surface treatment |
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| -- | Synchronous motors |
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| -- | Tendons |
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| -- | Thigh |
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| -- | Timing |
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| -- | Torque |
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| -- | Torque measurement |
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| -- | Training |
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| -- | Visualization |
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| -- | Workstations |
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| -- | Autoregressive processes |
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| -- | Back |
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| -- | Biological control systems |
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| -- | Biomedical monitoring |
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| -- | Biomembranes |
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| -- | Coherence |
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| -- | Computational modeling |
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| -- | Conductors |
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| -- | Correlation |
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| -- | Data models |
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| -- | Delays |
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| -- | Elbow |
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| -- | Electric potential |
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| -- | Electrical stimulation |
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| -- | Electrodes |
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| -- | Electromyography |
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| -- | Ergonomics |
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| -- | Estimation |
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| -- | Fatigue |
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| -- | Foot |
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| -- | Force |
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| -- | Force measurement |
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| -- | Gravity |
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| -- | Image color analysis |
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| -- | Impedance |
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| -- | Injuries |
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| -- | Interference |
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| -- | Irrigation |
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| -- | Joints |
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| -- | Kinematics |
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| -- | Legged locomotion |
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| -- | Mathematical model |
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| -- | Matrix decomposition |
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| -- | Muscles |
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| -- | Neck |
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| -- | Neuromuscular |
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| -- | Neurons |
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| -- | Neurophysiology |
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| -- | Numerical models |
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| -- | Organizations |
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| -- | Pain |
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