000			05963cam a2200769Ii 4500
005			20250919213645.0
006			m o d
007			cr cnu|||unuuu
008			171212s2016 njua ob 001 0 eng d
020			_a9781119082903 _qelectronic bk.
020			_a1119082900 _qelectronic bk.
020			_z9781119082934
020			_z1118987020
020			_z1119082870
020			_a1119082935
020			_a9781119082934
020			_z9781119082873
020			_z9781118987025
020			_a1118987020
020			_a9781118987025
024	3		_a9781118987025
029	1		_aDEBBG _bBV043738388
035			_a(OCoLC)946038431 _z(OCoLC)946105335 _z(OCoLC)946787468 _z(OCoLC)964878427 _z(OCoLC)964878463
035			_a(OCoLC)ocn946038431
037			_a910393 _bMIL
039		9	_a201902121249 _bemilda _y12-12-2017 _zhafiz _wMYUKM (1).mrc _x749
040			_aNST _beng _erda _epn _cNST _dNST _dIDEBK _dYDXCP _dOCLCF _dEBLCP _dDG1 _dCOO _dDEBBG _dKSU _dYDX _dRECBK
049			_aMAIN
050		4	_aRC77.5
072		7	_aHEA _x039000 _2bisacsh
072		7	_aMED _x014000 _2bisacsh
072		7	_aMED _x022000 _2bisacsh
072		7	_aMED _x112000 _2bisacsh
072		7	_aMED _x045000 _2bisacsh
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, NJ : _bIEEE Press, _c2016.
300			_a1 online resource : _bcolor illustrations
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _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
520	8		_aReflects on developments in noninvasive electromyography, and includes advances and applications in signal detection, processing and interpretation 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.
588	0		_aVendor-supplied metadata.
650		0	_aElectromyography.
650		0	_aMuscles _xRegeneration.
650		0	_aElectrodes.
655		4	_aElectronic books.
700	1		_aMerletti, Roberto, _eeditor.
700	1		_aFarina, Dario, _eeditor.
773	0		_tWiley e-books
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.
856	4	0	_uhttps://eresourcesptsl.ukm.remotexs.co/user/login?url=http://onlinelibrary.wiley.com/book/10.1002/9781119082934 _zWiley Online Library
907			_a.b16544869 _b2022-09-19 _c2019-11-12
942			_n0
914			_avtls003629420
998			_ae _b2017-12-12 _cm _dz _feng _gnju _y0 _z.b16544869
999			_c691430 _d691430