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Electromyography : physiology, engineering, and noninvasive applications / / edited by Roberto Merletti, Philip Parker
| Electromyography : physiology, engineering, and noninvasive applications / / edited by Roberto Merletti, Philip Parker |
| Pubbl/distr/stampa | Hoboken, New Jersey : , : Wiley-Interscience, , c2004 |
| Descrizione fisica | 1 PDF (xxii, 494 pages) : illustrations |
| Disciplina | 616.7/407547 |
| Altri autori (Persone) |
MerlettiRoberto
ParkerPhilip (Philip A.) |
| Collana | IEEE press series on biomedical engineering |
| Soggetto topico |
Electromyography - Diagnosis
Muscles Neuromuscular diseases Nervous System Diseases Tissues Myography Electrodiagnosis Musculoskeletal System Anatomy Diagnostic Techniques and Procedures Diseases Diagnosis Analytical, Diagnostic and Therapeutic Techniques and Equipment Electromyography Neuromuscular Diseases Medicine Health & Biological Sciences Internal Medicine |
| Soggetto non controllato | Electrical and Electronics Engineering |
| ISBN |
1-280-55689-7
9786610556892 0-471-67837-6 1-60119-509-5 0-471-67838-4 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Introduction -- 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.
6.5 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. References -- 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 Trickś 15.7 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. |
| Record Nr. | UNINA-9910146071103321 |
| Hoboken, New Jersey : , : Wiley-Interscience, , c2004 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Electromyography : physiology, engineering, and noninvasive applications / / edited by Roberto Merletti, Philip Parker
| Electromyography : physiology, engineering, and noninvasive applications / / edited by Roberto Merletti, Philip Parker |
| Pubbl/distr/stampa | Hoboken, New Jersey : , : Wiley-Interscience, , c2004 |
| Descrizione fisica | 1 PDF (xxii, 494 pages) : illustrations |
| Disciplina | 616.7/407547 |
| Altri autori (Persone) |
MerlettiRoberto
ParkerPhilip (Philip A.) |
| Collana | IEEE press series on biomedical engineering |
| Soggetto topico |
Electromyography - Diagnosis
Muscles Neuromuscular diseases Nervous System Diseases Tissues Myography Electrodiagnosis Musculoskeletal System Anatomy Diagnostic Techniques and Procedures Diseases Diagnosis Analytical, Diagnostic and Therapeutic Techniques and Equipment Electromyography Neuromuscular Diseases Medicine Health & Biological Sciences Internal Medicine |
| Soggetto non controllato | Electrical and Electronics Engineering |
| ISBN |
1-280-55689-7
9786610556892 0-471-67837-6 1-60119-509-5 0-471-67838-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Introduction -- 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.
6.5 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. References -- 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 Trickś 15.7 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. |
| Record Nr. | UNINA-9910830798303321 |
| Hoboken, New Jersey : , : Wiley-Interscience, , c2004 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Surface electromyography : physiology, engineering, and applications / / edited by Roberto Merletti and Dario Farina
| Surface electromyography : physiology, engineering, and applications / / edited by Roberto Merletti and Dario Farina |
| Pubbl/distr/stampa | Piscataway, New Jersey : , : IEEE Press, , 2016 |
| Descrizione fisica | 1 online resource (731 p.) |
| Disciplina | 616.7407547 |
| Collana | IEEE Press Series on Biomedical Engineering |
| Soggetto topico |
Electromyography
Muscles - Regeneration |
| ISBN |
1-119-08287-0
1-119-08290-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
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
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 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 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 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 |
| Record Nr. | UNINA-9910136912303321 |
| Piscataway, New Jersey : , : IEEE Press, , 2016 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Surface electromyography : physiology, engineering, and applications / / edited by Roberto Merletti and Dario Farina
| Surface electromyography : physiology, engineering, and applications / / edited by Roberto Merletti and Dario Farina |
| Pubbl/distr/stampa | Piscataway, New Jersey : , : IEEE Press, , 2016 |
| Descrizione fisica | 1 online resource (731 p.) |
| Disciplina | 616.7407547 |
| Collana | IEEE Press Series on Biomedical Engineering |
| Soggetto topico |
Electromyography
Muscles - Regeneration |
| ISBN |
1-119-08287-0
1-119-08290-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
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
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 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 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 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 |
| Record Nr. | UNINA-9910676555803321 |
| Piscataway, New Jersey : , : IEEE Press, , 2016 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||