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