000 | 09029nam a2201489 i 4500 | ||
---|---|---|---|
001 | 7470984 | ||
003 | IEEE | ||
005 | 20220712205930.0 | ||
006 | m o d | ||
007 | cr |n||||||||| | ||
008 | 160607s2008 njua ob 001 eng d | ||
019 |
_a946105335 _a946787468 |
||
020 | _a1119082935 | ||
020 |
_a9781119082934 _qelectronic |
||
020 |
_z9781118987025 _qprint |
||
020 |
_z9781119082903 _qelectronic bk. |
||
020 |
_z1119082900 _qelectronic bk. |
||
020 | _z9781119082934 | ||
020 | _z1118987020 | ||
020 | _z1119082870 | ||
020 | _z9781119082873 | ||
020 | _z9781118987025 | ||
024 | 7 |
_a10.1002/9781119082934 _2doi |
|
035 | _a(CaBNVSL)mat07470984 | ||
035 | _a(IDAMS)0b00006485171469 | ||
040 |
_aCaBNVSL _beng _erda _cCaBNVSL _dCaBNVSL |
||
050 | 4 | _aRC77.5 | |
082 | 0 | 4 |
_a616.7407547 _223 |
245 | 0 | 0 |
_aSurface electromyography : _bphysiology, engineering, and applications / _cedited by Roberto Merletti and Dario Farina. |
264 | 1 |
_aPiscataway, New Jersey : _bIEEE Press, _c2016. |
|
264 | 2 |
_a[Piscataqay, New Jersey] : _bIEEE Xplore, _c[2016] |
|
300 |
_a1 PDF : _bcolor illustrations. |
||
336 |
_atext _2rdacontent |
||
337 |
_aelectronic _2isbdmedia |
||
338 |
_aonline resource _2rdacarrier |
||
490 | 1 | _aIEEE Press Series on Biomedical Engineering | |
504 | _aIncludes bibliographical references and index. | ||
505 | 0 | _aSeries 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 | _aChapter 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 | _a4.5 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 | _a6.2 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 | _a8.6 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 | |
506 | 1 | _aRestricted to subscribers or individual electronic text purchasers. | |
520 | _aReflects 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. | ||
530 | _aAlso available in print. | ||
538 | _aMode of access: World Wide Web | ||
588 | 0 | _aVendor-supplied metadata. | |
650 | 0 |
_aElectromyography. _926424 |
|
650 | 0 |
_aMuscles _xRegeneration. _928834 |
|
650 | 0 |
_aElectrodes. _94821 |
|
650 | 7 |
_aElectrodes. _2fast _94821 |
|
650 | 7 |
_aElectromyography. _2fast _926424 |
|
650 | 7 |
_aMuscles _xRegeneration. _2fast _928834 |
|
655 | 4 |
_aElectronic books. _93294 |
|
695 | _aPhysiology | ||
695 | _aProbes | ||
695 | _aRecruitment | ||
695 | _aSkin | ||
695 | _aSociology | ||
695 | _aSpace exploration | ||
695 | _aSpinal cord | ||
695 | _aStochastic processes | ||
695 | _aSurface discharges | ||
695 | _aSurface impedance | ||
695 | _aSurface morphology | ||
695 | _aSurface treatment | ||
695 | _aSynchronous motors | ||
695 | _aTendons | ||
695 | _aThigh | ||
695 | _aTiming | ||
695 | _aTorque | ||
695 | _aTorque measurement | ||
695 | _aTraining | ||
695 | _aVisualization | ||
695 | _aWorkstations | ||
695 | _aAutoregressive processes | ||
695 | _aAxons | ||
695 | _aBack | ||
695 | _aBandwidth | ||
695 | _aBiological control systems | ||
695 | _aBiomedical monitoring | ||
695 | _aBiomembranes | ||
695 | _aCoherence | ||
695 | _aComputational modeling | ||
695 | _aConductors | ||
695 | _aCorrelation | ||
695 | _aData models | ||
695 | _aDelays | ||
695 | _aElbow | ||
695 | _aElectric potential | ||
695 | _aElectrical stimulation | ||
695 | _aElectrodes | ||
695 | _aElectromyography | ||
695 | _aErgonomics | ||
695 | _aEstimation | ||
695 | _aFatigue | ||
695 | _aFoot | ||
695 | _aForce | ||
695 | _aForce measurement | ||
695 | _aGravity | ||
695 | _aImage color analysis | ||
695 | _aImpedance | ||
695 | _aInjuries | ||
695 | _aInterference | ||
695 | _aIrrigation | ||
695 | _aJoints | ||
695 | _aKinematics | ||
695 | _aLegged locomotion | ||
695 | _aMathematical model | ||
695 | _aMatrix decomposition | ||
695 | _aMuscles | ||
695 | _aNeck | ||
695 | _aNeuromuscular | ||
695 | _aNeurons | ||
695 | _aNeurophysiology | ||
695 | _aNumerical models | ||
695 | _aOrganizations | ||
695 | _aPain | ||
700 | 1 |
_aMerletti, Roberto, _eeditor. _926427 |
|
700 | 1 |
_aFarina, Dario, _eeditor. _928266 |
|
710 | 2 |
_aIEEE Xplore (Online Service), _edistributor. _928835 |
|
710 | 2 |
_aWiley, _epublisher. _928836 |
|
776 | 0 | 8 |
_iPrint version: _aMerletti, Roberto _tSurface Electromyography : Physiology, Engineering and Applications _d: Wiley,c2016 _z9781119082934 |
830 | 0 |
_aIEEE Press series in biomedical engineering. _928837 |
|
856 | 4 | 2 |
_3Abstract with links to resource _uhttps://ieeexplore.ieee.org/xpl/bkabstractplus.jsp?bkn=7470984 |
942 | _cEBK | ||
999 |
_c74449 _d74449 |