LEADER 06451nam 2200613 450 001 9910136912303321 005 20221206100346.0 010 $a1-119-08287-0 010 $a1-119-08290-0 024 7 $a10.1002/9781119082934 035 $a(CKB)3710000000635789 035 $a(EBL)4498644 035 $a(MiAaPQ)EBC4498644 035 $a(CaBNVSL)mat07470984 035 $a(IDAMS)0b00006485171469 035 $a(IEEE)7470984 035 $a(PPN)257915958 035 $a(EXLCZ)993710000000635789 100 $a20160607d2008 uy 101 0 $aeng 135 $aur|n|---||||| 181 $2rdacontent 182 $2rdamedia 183 $2rdacarrier 200 00$aSurface electromyography $ephysiology, engineering, and applications /$fedited by Roberto Merletti and Dario Farina 210 1$aPiscataway, New Jersey :$cIEEE Press,$d2016. 210 2$a[Piscataqay, New Jersey] :$cIEEE Xplore,$d[2016] 215 $a1 online resource (731 p.) 225 1 $aIEEE Press Series on Biomedical Engineering 300 $aDescription based upon print version of record. 311 $a1-118-98702-0 311 $a1-119-08293-5 320 $aIncludes bibliographical references at the end of each chapters and index. 327 $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 327 $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 327 $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 327 $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 327 $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 330 $aReflects on developments in noninvasive electromyography, and includes advances and applications in signal detection, processing, and interpretation The book presents a quantitative approach to the study and use of noninvasively detected electromyographic (EMG) signals, as well as their numerous applications in various aspects of the life sciences. Surface Electromyography: Physiology, Engineering, and Applications is an update of Electromyography: Physiology, Engineering, and Noninvasive Applications (Wiley-IEEE Press, 2004) and focuses on the developments that have taken place over the last decade. The first nine chapters deal with the generation, detection, understanding, interpretation, and modeling of EMG signals. Detection technology, with particular focus on EMG imaging techniques that are based on two-dimensional electrode arrays are also included in the first half of the book. The latter 11 chapters deal with applications, which range from monitoring muscle fatigue, electrically elicited contractions, posture analysis, prevention of work-related and child-delivery-related neuromuscular disorders, ergonomics, movement analysis, physical therapy, exercise physiology, and prosthesis control. . Addresses EMG imaging technology together with the issue of decomposition of surface EMG. Includes advanced single and multi-channel techniques for information extraction from surface EMG signals. Presents the analysis and information extraction of surface EMG at various scales, from motor units to the concept of muscle synergies. The book is aimed primarily to biomedical engineers, rehabilitation physicians, and movement scientists. However, it may be appreciated by neurophysiologists, and physical and occupational therapists with a background in physics, engineering, and signal processing. 410 0$aIEEE Press series in biomedical engineering. 606 $aElectromyography 606 $aMuscles$xRegeneration 615 0$aElectromyography. 615 0$aMuscles$xRegeneration. 676 $a616.7407547 702 $aMerletti$b Roberto 702 $aFarina$b Dario 801 0$bCaBNVSL 801 1$bCaBNVSL 801 2$bCaBNVSL 906 $aBOOK 912 $a9910136912303321 996 $aSurface electromyography$91899609 997 $aUNINA