000			12532nam a2201357 i 4500
001			5237323
003			IEEE
005			20200421114111.0
006			m o d
007			cr |n|||||||||
008			151221s2005 njua ob 001 eng d
020			_a9780471678380 _qebook
020			_z0471675806 _qprint. ed.
020			_z9780471675808 _qprint. ed.
020			_z0471678384 _qelectronic
024	7		_a10.1002/0471678384 _2doi
035			_a(CaBNVSL)mat05237323
035			_a(IDAMS)0b000064810955c0
040			_aCaBNVSL _beng _erda _cCaBNVSL _dCaBNVSL
050		4	_aRC77.5 _b.E456 2004eb
082	0	0	_a616.7/407547 _222
245	0	0	_aElectromyography : _bphysiology, engineering, and noninvasive applications / _cedited by Roberto Merletti, Philip Parker.
264		1	_aHoboken, New Jersey : _bWiley-Interscience, _cc2004.
264		2	_a[Piscataqay, New Jersey] : _bIEEE Xplore, _c[2005]
300			_a1 PDF (xxii, 494 pages) : _billustrations.
336			_atext _2rdacontent
337			_aelectronic _2isbdmedia
338			_aonline resource _2rdacarrier
490	1		_aIEEE press series on biomedical engineering ; _v11
504			_aIncludes bibliographical references and index.
505	0		_aIntroduction -- Contributors -- 1 BASIC PHYSIOLOGY AND BIOPHYSICS OF EMG SIGNAL GENERATION (T. Moritani, D. Stegeman, R. Merletti) -- 1.1 Introduction -- 1.2 Basic Physiology of Motor Control and Muscle Contraction -- 1.3 Basic Electrophysiology of the Muscle Cell Membrane -- References -- 2 NEEDLE AND WIRE DETECTION TECHNIQUES (J. V. Trontelj, J. Jabre, M. Mihelin) -- 2.1 Anatomical and Physiological Background of Intramuscular Recording -- 2.2 Recording Characteristics of Needle Electrodes -- 2.3 Conventional Needle EMG -- 2.4 Special Needle Recording Techniques -- 2.5 Physical Characteristics of Needle EMG Signals -- 2.6 Recording Equipment -- References -- 3 DECOMPOSITION OF INTRAMUSCULAR EMG SIGNALS (D. W. Stashuk, D. Farina, K. Sgaard) -- 3.1 Introduction -- 3.2 Basic Steps for EMG Signal Decomposition -- 3.3 Evaluation of Performance of EMG Signal Decomposition Algorithms -- 3.4 Applications of Results of the Decomposition of an Intramuscular EMG Signal -- 3.5 Conclusions -- References -- 4 BIOPHYSICS OF THE GENERATION OF EMG SIGNALS (D. Farina, R. Merletti, D. F. Stegeman) -- 4.1 Introduction -- 4.2 EMG Signal Generation -- 4.3 Crosstalk -- 4.4 Relationships between Surface EMG Features and Developed Force -- 4.5 Conclusions -- References -- 5 DETECTION AND CONDITIONING OF THE SURFACE EMG SIGNAL (R. Merletti, H. Hermens) -- 5.1 Introduction -- 5.2 Electrodes: Their Transfer Function -- 5.3 Electrodes: Their Impedance, Noise, and dc Voltages -- 5.4 Electrode Configuration, Distance, Location -- 5.5 EMG Front-End Amplifiers -- 5.6 EMG Filters: Specifications -- 5.7 Sampling and A/D Conversion -- 5.8 European Recommendations on Electrodes and Electrode Locations -- References -- 6 SINGLE-CHANNEL TECHNIQUES FOR INFORMATION EXTRACTION FROM THE SURFACE EMG SIGNAL (E. A. Clancy, D. Farina, G. Filligoi) -- 6.1 Introduction -- 6.2 Spectral Estimation of Deterministic Signals and Stochastic Processes -- 6.3 Basic Surface EMG Signal Models -- 6.4 Surface EMG Amplitude Estimation.
505	8		_a6.5 Extraction of Information in Frequency Domain from Surface EMG Signals -- 6.6 Joint Analysis of EMG Spectrum and Amplitude (JASA) -- 6.7 Recurrence Quantification Analysis of Surface EMG Signals -- 6.8 Conclusions -- References -- 7 MULTI-CHANNEL TECHNIQUES FOR INFORMATION EXTRACTION FROM THE SURFACE EMG (D. Farina, R. Merletti, C. Disselhorst-Klug) -- 7.1 Introduction -- 7.2 Spatial Filtering -- 7.3 Spatial Sampling -- 7.4 Estimation of Muscle-Fiber Conduction Velocity -- 7.5 Conclusions -- References -- 8 EMG MODELING AND SIMULATION (D. F. Stegeman, R. Merletti, H. J. Hermens) -- 8.1 Introduction -- 8.2 Phenomenological Models of EMG -- 8.3 Elements of Structure-Based SEMG Models -- 8.4 Basic Assumptions -- 8.5 Elementary Sources of Bioelectric Muscle Activity -- 8.6 Fiber Membrane Activity Profiles, Their Generation, Propagation, and Extinction -- 8.7 Structure of the Motor Unit -- 8.8 Volume Conduction -- 8.9 Modeling EMG Detection Systems -- 8.10 Modeling Motor Unit Recruitment and Firing Behavior -- 8.11 Inverse Modeling -- 8.12 Modeling of Muscle Fatigue -- 8.13 Other Applications of Modeling -- 8.14 Conclusions -- References -- 9 MYOELECTRIC MANIFESTATIONS OF MUSCLE FATIGUE (R. Merletti, A. Rainoldi, D. Farina) -- 9.1 Introduction -- 9.2 Definitions and Sites of Neuromuscular Fatigue -- 9.3 Assessment of Muscle Fatigue -- 9.4 How Fatigue Is Reflected in Surface EMG Variables -- 9.5 Myoelectric Manifestations of Muscle Fatigue in Isometric Voluntary Contractions -- 9.6 Fiber Typing and Myoelectric Manifestations of Muscle Fatigue -- 9.7 Factors Affecting Surface EMG Variable -- 9.8 Repeatability of Estimates of EMG Variables and Fatigue Indexes -- 9.9 Conclusions -- References -- 10 ADVANCED SIGNAL PROCESSING TECHNIQUES (D. Zazula, S. Karlsson, C. Doncarli) -- 10.1 Introduction -- 10.2 Theoretical Background -- 10.3 Decomposition of EMG Signals -- 10.4 Applications to Monitoring Myoelectric Manifestations of Muscle Fatigue -- 10.5 Conclusions -- Acknowledgment.
505	8		_aReferences -- 11 SURFACE MECHANOMYOGRAM (C. Orizio) -- 11.1 The Mechanomyogram (MMG): General Aspects during Stimulated and Voluntary Contraction -- 11.2 Detection Techniques and Sensors Comparison -- 11.3 Comparison between Different Detectors -- 11.4 Simulation -- 11.5 MMG Versus Force: Joint and Adjunct Information Content -- 11.6 MMG Versus EMG: Joint and Adjunct Information Content -- 11.7 Area of Application -- References -- 12 SURFACE EMG APPLICATIONS IN NEUROLOGY (M. J. Zwarts, D. F. Stegeman, J. G. van Dijk) -- 12.1 Introduction -- 12.2 Central Nervous System Disorders and SEMG -- 12.3 Compound Muscle Action Potential and Motor Nerve Conduction -- 12.4 CMAP Generation -- 12.5 Clinical Applications -- 12.6 Pathological Fatigue -- 12.7 New Avenues: High-Density Multichannel Recording -- 12.8 Conclusion -- References -- 13 APPLICATIONS IN ERGONOMICS (G. M. Hgg, B. Melin, R. Kadefors) -- 13.1 Historic Perspective -- 13.2 Basic Workload Concepts in Ergonomics -- 13.3 Basic Surface EMG Signal Processing -- 13.4 Load Estimation and SEMG Normalization and Calibration -- 13.5 Amplitude Data Reduction over Time -- 13.6 Electromyographic Signal Alterations Indicating Muscle Fatigue in Ergonomics -- 13.7 SEMG Biofeedback in Ergonomics -- 13.8 Surface EMG and Musculoskeletal Disorders -- 13.9 Psychological Effects on EMG -- References -- 14 APPLICATIONS IN EXERCISE PHYSIOLOGY (F. Felici) -- 14.1 Introduction -- 14.2 A Few "Tips and Tricks" -- 14.3 Time and Frequency Domain Analysis of sEMG: What Are We Looking For? -- 14.4 Application of sEMG to the Study of Exercise -- 14.5 Strength and Power Training -- 14.6 Muscle Damage Studied by Means of sEMG -- References -- 15 APPLICATIONS IN MOVEMENT AND GAIT ANALYSIS (C. Frigo, R. Shiavi) -- 15.1 Relevance of Electromyography in Kinesiology -- 15.2 Typical Acquisition Settings -- 15.3 Study of Motor Control Strategies -- 15.4 Investigation on the Mechanical Effect of Muscle Contraction -- 15.5 Gait Analysis -- 15.6 Identification of Pathophysiologic Factors.
505	8		_a15.7 Workload Assessment in Occupational Biomechanics -- 15.8 Biofeedback -- 15.9 The Linear Envelope -- 15.10 Information Enhancement through Multifactorial Analysis -- References -- 16 APPLICATIONS IN REHABILITATION MEDICINE AND RELATED FIELDS (A. Rainoldi, R. Casale, P. Hodges, G. Jull) -- 16.1 Introduction -- 16.2 Electromyography as a Tool in Back and Neck Pain -- 16.3 EMG of the Pelvic Floor: A New Challenge in Neurological Rehabilitation -- 16.4 Age-Related Effects on EMG Assessment of Muscle Physiology -- 16.5 Surface EMG and Hypobaric Hipoxia -- 16.6 Microgravity Effects on Neuromuscular System -- References -- 17 BIOFEEDBACK APPLICATIONS (J. R. Cram) -- 17.1 Introduction -- 17.2 Biofeedback Application to Impairment Syndromes -- 17.3 SEMG Biofeedback Techniques -- 17.4 Summary -- References -- 18 CONTROL OF POWERED UPPER LIMB PROSTHESES (P. A. Parker, K. B. Englehart, B. S. Hudgins) -- 18.1 Introduction -- 18.2 Myoelectric Signal as a Control Input -- 18.3 Conventional Myoelectric Control -- 18.4 Emerging MEC Strategies -- 18.5 Summary -- References -- Index.
506	1		_aRestricted to subscribers or individual electronic text purchasers.
520			_aA 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.
530			_aAlso available in print.
538			_aMode of access: World Wide Web
588			_aDescription based on PDF viewed 12/21/2015.
650		0	_aElectromyography.
650		0	_aMuscles.
650		0	_aNeuromuscular diseases _xDiagnosis.
653			_aElectrical and Electronics Engineering.
655		0	_aElectronic books.
695			_aAdaptation model
695			_aAutoregressive processes
695			_aBack
695			_aBiochemistry
695			_aBiological control systems
695			_aBiomembranes
695			_aCalibration
695			_aCentral nervous system
695			_aComputational modeling
695			_aConductors
695			_aControl systems
695			_aCorrelation
695			_aData mining
695			_aDiseases
695			_aElectric potential
695			_aElectrodes
695			_aElectromyography
695			_aErgonomics
695			_aEstimation
695			_aFace
695			_aFatigue
695			_aForce
695			_aFrequency domain analysis
695			_aGeometry
695			_aHead
695			_aHumans
695			_aImpedance
695			_aIndexes
695			_aJoints
695			_aKinematics
695			_aLaboratories
695			_aLegged locomotion
695			_aMIMO
695			_aManganese
695			_aMarkov processes
695			_aMathematical model
695			_aMeasurement by laser beam
695			_aMotor drives
695			_aMuscles
695			_aNeedles
695			_aNeuromuscular
695			_aNeurons
695			_aNoise
695			_aNumerical models
695			_aPain
695			_aProcess control
695			_aProsthetics
695			_aSensors
695			_aShape
695			_aSignal resolution
695			_aSkin
695			_aSolid modeling
695			_aSpine
695			_aStochastic processes
695			_aStress
695			_aSurface emitting lasers
695			_aSurface impedance
695			_aSurface morphology
695			_aSurface treatment
695			_aTendons
695			_aTime frequency analysis
695			_aTraction motors
695			_aTransducers
700	1		_aMerletti, Roberto.
700	1		_aParker, Philip _q(Philip A.)
710	2		_aJohn Wiley & Sons, _epublisher.
710	2		_aIEEE Xplore (Online service), _edistributor.
776	0	8	_iPrint version: _z9780471675808
830		0	_aIEEE Press series in biomedical engineering ; _v11
856	4	2	_3Abstract with links to resource _uhttp://ieeexplore.ieee.org/xpl/bkabstractplus.jsp?bkn=5237323
942			_cEBK
999			_c59341 _d59341