Electromyography

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Electromyography (EMG) is a technique for evaluating and recording the electrical activity produced by skeletal muscles. (Wikipedia.org)






Conferences related to Electromyography

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2013 IEEE 11th International Conference on Electronic Measurement & Instruments (ICEMI)

ICEMI is invited authors to submit original papers in any but not limited as following areas: Science Foundation of Instrument and Measurement Innovative Designing of Instrument and Test System Applications on Instrument and Testing Signal & Image Processing Sensor and Non-electric Measurement Communication and Network Test Systems Control Theory and Application Condition Monitoring, Fault Diagnosis and Prediction Other Relevant Theories and Technologies

  • 2011 IEEE 10th International Conference on Electronic Measurement & Instruments (ICEMI)

    ICEMI is the world s premier conference dedicated to the electronic test of devices, boards and systems covering the complete cycle from design verification, test, diagnosis, failure analysis and back to process and design improvement, and is convened every two years. The purpose of the ICEMI is to provide excellent opportunities for scientists, engineers, and participants throughout the world to present the latest research results and to exchange their views or experience.

  • 2009 9th International Conference on Electronic Measurement & Instruments (ICEMI 2009)

    Science Foundation of Instrument and Measurement Instrument, Measurement and Test Technology: Sensing Technology and Transducer Designing of Instrument and Test System Applications on Instrument and Testing: Communication and Network Test Systems Control Theory and Application

  • 2007 8th International Conference on Electronic Measurement & Instruments (ICEMI 2007)


IEEE SOUTHEASTCON 2013

Region 3 Meeting, Technical papers, student competitions.

  • SOUTHEASTCON 2012

    The annual IEEE SoutheastCon conferences promote all aspects of the theories and applications of the engineering disciplines. Sponsored by the IEEE Region 03, this event attracts researchers, professionals, and students from the Southeast region of the U.S and beyond. SoutheastCon 2012 will be held in Orlando, Florida.

  • SOUTHEASTCON 2011

    IEEE SoutheastCon2011 is the annual IEEE Region 3 technical, professional, and student conference, invites conference refereed and non-refereed technical paper presentations and tutorials that advance the work and careers of conference attendees in the areas of interest for the conference.

  • SOUTHEASTCON 2010

    SoutheastCon 2010 is the Region 3 event which includes a student conference, a technical conference, and the Region 3 business meeting.

  • SOUTHEASTCON 2009

    It is the annual IEEE Region 3 Technical, Professional, and Student Conference. As the premier conference for the IEEE Region 3, it brings together electrical, computer and other engineering and science professionals, faculty and students to share the latest information through technical sessions, tutorials and exhibits. The conference schedule includes: a technical program with seminars, tutorials, and workshops; exhibits; a student program with student competitions; and IEEE regional meetings.

  • SOUTHEASTCON 2008

    SoutheastCon is the Southeastern USA Region of the IEEE's premier conference. It contains three main sections: a technical program, student competitions and regional meetings. SouthEastCon features technical papers, tutorials and exhibits.

  • SOUTHEASTCON 2007


2012 24th Chinese Control and Decision Conference (CCDC)

Chinese Control and Decision Conference is an annual international conference to create a forum for scientists, engineers and practitioners throughout the world to present the latest advancement in Control, Decision, Automation, Robotics and Emerging Technologies.

  • 2011 23rd Chinese Control and Decision Conference (CCDC)

    Chinese Control and Decision Conference is an annual international conference to create a forum for scientists, engineers and practitioners throughout the world to present the latest advancement in Control, Decision, Automation, Robotics and Emerging Technologies.

  • 2010 Chinese Control and Decision Conference (CCDC)

    Chinese Control and Decision Conference is an annual international conference to create a forum for scientists, engineers and practitioners throughout the world to present the latest advancement in Control, Decision, Automation, Robotics and Emerging Technologies

  • 2009 Chinese Control and Decision Conference (CCDC)

    Chinese Control and Decision Conference is an annual international conference to create a forum for scientists, engineers and practitioners throughout the world to present the latest advancement in Control, Decision, Automation, Robotics and Emerging Technologies.


2012 IEEE/ASME 8th International Conference on Mechatronic and Embedded Systems and Applications (MESA)

Mechanical and electrical systems show an increasing integration of mechanics with electronics and information processing. This integration is between the components (hardware) and the information-driven functions (software), resulting in integrated systems called mechatronic systems. The development of mechatronic systems involves finding an optimal balance between the basic mechanical structure, sensor and actuators, automatic digital information processing and control in which embedded systems play a key role. The goal of the 8th IEEE/ASME MESA'12, is to bring together experts from the fields of mechatronic and embedded systems, disseminate the recent advances made in the area, discuss future research directions, and exchange application experience.


2010 International Conference on Electrical and Control Engineering (ICECE)

recent advances, new techniques and applications in the field of Electrical Engineering and Automation Control.


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Periodicals related to Electromyography

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Biomedical Engineering, IEEE Transactions on

Broad coverage of concepts and methods of the physical and engineering sciences applied in biology and medicine, ranging from formalized mathematical theory through experimental science and technological development to practical clinical applications.


Neural Systems and Rehabilitation Engineering, IEEE Transactions on

Rehabilitation aspects of biomedical engineering, including functional electrical stimulation, acoustic dynamics, human performance measurement and analysis, nerve stimulation, electromyography, motor control and stimulation, and hardware and software applications for rehabilitation engineering and assistive devices.




Xplore Articles related to Electromyography

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A portable activity monitor for musculoskeletal pain disorders

J. R. Searle; J. G. Arena; R. A. Sherman Images of the Twenty-First Century. Proceedings of the Annual International Engineering in Medicine and Biology Society,, 1989

A portable activity monitor (PAM) designed for simultaneously recording and quantifying surface electromyograph (EMG) signals and body movements in the natural environment is discussed. The data are transferred to a personal computer for graphic display, statistical analysis, and storage. A table of PAM system specifications is given. The system is currently being used to determine the relationships between onset and ...


Muscle innervation patterns for human wrist control: Useful biofeedback signals for robotic rehabilitation?

M. Semprini; A. Cuppone; V. Squeri; J. Konczak 2015 IEEE International Conference on Rehabilitation Robotics (ICORR), 2015

Upper limb robotic rehabilitation technology has recognized the importance of biofeedback signals for optimizing motor recovery. Impaired motor control is typically associated with abnormal muscle activation patterns and such patterns can be revealed by electromyography (EMG). However, before using user-generated EMG signals as biofeedback for controlling and optimizing force output of a robot, it is imperative that the healthy muscle ...


Research on genetic algorithm based on emotion recognition using physiological signals

Xiaowei Niu; Liwan Chen; Qiang Chen 2011 International Conference on Computational Problem-Solving (ICCP), 2011

In this paper, we first regard the discrete emotion recognition as a pattern recognition problem, the idea of combinational mode optimization is employed on emotion recognition. For collecting physiological signals in four different affective states, joy, anger, sadness, pleasure. We used a music induction method which elicits natural emotional reactions from the subject, Four- channel biosensors are used to obtain ...


Prediction of four degrees of freedom arm movement using EMG signal

Kyuwan Choi; H. Hirose; T. Iijima; Y. Koike 2005 IEEE Engineering in Medicine and Biology 27th Annual Conference, 2005

In this paper, we predicted four degrees of freedom movement of a monkey's arm by using a neural network model based on the EMG signal. Through the monkey's reaching task, we measured the electromyograms (EMG) signal from the seven muscles of the arm and simultaneously three dimensional movement trajectory of it. The neural network model used in this study is ...


Postural behaviors to combined disturbances of the visual field and base of support

Emily A. Keshner; Jill Slaboda 2009 Virtual Rehabilitation International Conference, 2009

This study examines whether combining a sustained mechanical and visual disturbance will modify the automatic postural responses and alter subsequent recovery to vertical orientation in healthy young and older adults and in patients who are post-stroke. Subjects stood on a platform that tilted 3 deg at 30 deg/sec into dorsiflexion while in the dark, with visual motion matched to motion ...


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Educational Resources on Electromyography

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eLearning

A portable activity monitor for musculoskeletal pain disorders

J. R. Searle; J. G. Arena; R. A. Sherman Images of the Twenty-First Century. Proceedings of the Annual International Engineering in Medicine and Biology Society,, 1989

A portable activity monitor (PAM) designed for simultaneously recording and quantifying surface electromyograph (EMG) signals and body movements in the natural environment is discussed. The data are transferred to a personal computer for graphic display, statistical analysis, and storage. A table of PAM system specifications is given. The system is currently being used to determine the relationships between onset and ...


Muscle innervation patterns for human wrist control: Useful biofeedback signals for robotic rehabilitation?

M. Semprini; A. Cuppone; V. Squeri; J. Konczak 2015 IEEE International Conference on Rehabilitation Robotics (ICORR), 2015

Upper limb robotic rehabilitation technology has recognized the importance of biofeedback signals for optimizing motor recovery. Impaired motor control is typically associated with abnormal muscle activation patterns and such patterns can be revealed by electromyography (EMG). However, before using user-generated EMG signals as biofeedback for controlling and optimizing force output of a robot, it is imperative that the healthy muscle ...


Research on genetic algorithm based on emotion recognition using physiological signals

Xiaowei Niu; Liwan Chen; Qiang Chen 2011 International Conference on Computational Problem-Solving (ICCP), 2011

In this paper, we first regard the discrete emotion recognition as a pattern recognition problem, the idea of combinational mode optimization is employed on emotion recognition. For collecting physiological signals in four different affective states, joy, anger, sadness, pleasure. We used a music induction method which elicits natural emotional reactions from the subject, Four- channel biosensors are used to obtain ...


Prediction of four degrees of freedom arm movement using EMG signal

Kyuwan Choi; H. Hirose; T. Iijima; Y. Koike 2005 IEEE Engineering in Medicine and Biology 27th Annual Conference, 2005

In this paper, we predicted four degrees of freedom movement of a monkey's arm by using a neural network model based on the EMG signal. Through the monkey's reaching task, we measured the electromyograms (EMG) signal from the seven muscles of the arm and simultaneously three dimensional movement trajectory of it. The neural network model used in this study is ...


Postural behaviors to combined disturbances of the visual field and base of support

Emily A. Keshner; Jill Slaboda 2009 Virtual Rehabilitation International Conference, 2009

This study examines whether combining a sustained mechanical and visual disturbance will modify the automatic postural responses and alter subsequent recovery to vertical orientation in healthy young and older adults and in patients who are post-stroke. Subjects stood on a platform that tilted 3 deg at 30 deg/sec into dorsiflexion while in the dark, with visual motion matched to motion ...


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IEEE.tv Videos

No IEEE.tv Videos are currently tagged "Electromyography"

IEEE-USA E-Books

  • Biophysics of the Generation of EMG Signals

    This chapter describes the basic concepts of generation and detection of EMG signals. Specific emphasis is devoted to the generation of muscle fiber action potentials at the fiber end plates, their propagation along the sarcolemma, and their extinction at the tendons. The chapter addresses the topics of crosstalk between nearby muscles and selectivity of the recording systems. It discusses the relationships between muscle force and the surface EMG. The EMG signal is generated by the electrical activity of the muscle fibers active during a contraction. The signal sources are the depolarizing and repolarizing zones of the muscle fibers. EMG signal features depend on a number of anatomical, physical, and detection system parameters. Considering all the factors related to the volume conductor and the signal sources that influence the characteristics of the EMG signal, a reliable relation between EMG amplitude and force needs a subject specific and condition specific calibration.

  • Index

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  • Detection and Conditioning of Surface EMG Signals

    This chapter presents the detection and conditioning of surface electromyographic (EMG) signals. More advanced techniques are now widely used in research laboratories and are being adopted in clinical settings. Such techniques are based on multichannel detection by means of one dimensional (1-D) or two dimensional (2-D) electrode arrays. The chapter describes the electrode-skin interface and the front-end amplifier stage. The impedance between two electrodes is the sum of two electrode-skin impedances plus the interposed tissue impedance. Conventional electrodes, either wet or dry, behave like transducers converting ionic current (in tissue and gel) into flow of electrons in the metal. These electrical sensors require a careful skin preparation to reduce the impedance and noise associated to this interface. The biomedical sector offers small-sized, high-cost application-specific integrated circuits (ASIC) devices for biopotential measurements. Applications are expected to range from physiopathological investigations, to rehabilitation games, biofeedback applications, and sport training.

  • Surface EMG Decomposition

    This chapter provides an overview of surface EMG decomposition techniques, along with their basic assumptions, properties, and limitations. Surface electrodes measure the electrical activity of several nearby muscle fibers that are active during a muscle contraction. The electrical activity of each fiber can be described by a single fiber action potential (SFAP) that propagates from the neuromuscular junction towards the tendons. There is large diversity of decomposition techniques that can roughly be categorized either as template matching or latent component analysis (blind source separation) approaches. Decomposition of surface EMG is a powerful tool enabling noninvasive insight not only into muscle control strategies, but also into peripheral muscle properties. It provides unambiguous information on physiological parameters of individual motor units that can easily be interpreted. The identification of motor units (MUs) discharge patterns from surface EMG signals, acquired during dynamic muscle contractions, needs to be addressed.

  • EMG of Electrically Stimulated Muscles

    This chapter addresses stimulation techniques, the issue of the stimulation electrode positioning, motor unit (MU) activation order, and spinal involvement in electrically elicited contractions. Two stimulation techniques are commonly used: bipolar, and monopolar stimulation. The differences between these two methods concern the geometry and relative position of the stimulation electrodes. Surface electromyography (sEMG) signals can be detected during selective electrical stimulation of a nerve branch or of a motor point of a muscle. The resultant sEMG signal is a compound motor action potential (CMAP), also termed as M-wave. Since the M-wave represents the sum of the potentials of the concurrently activated MUs, its change is generally assumed to reflect changes either in the number or in the sarcolemmal properties of activated MUs. Neuromuscular electrical stimulation (NMES) combined with sEMG isolates the contributions of peripheral fatigue because it gives the experimenter control of MU firing frequency and recruitment.

  • Surface EMG Biofeedback

    This chapter focuses on the most common form of feedback in physical rehabilitation: surface electromyograph (sEMG) biofeedback. It provides an overview of technical considerations and guidelines for the use of sEMG biofeedback and reviews some of its most common clinical applications. The principle of sEMG biofeedback is to provide the subject with enhanced information about muscle activity. The most common goals are muscle relaxation, reduction of excessive and/or inappropriate muscle activation, or the learning or re learning of muscle control. The chapter considers some of the technical considerations when applying and interpreting sEMG biofeedback. It summarizes the use of sEMG biofeedback for various clinical conditions. Recent technological advances and discoveries in the field of motor control and learning prompted new solutions for sEMG biofeedback applications, possibly leading to more effective training.

  • Single-Channel Techniques for Information Extraction from the Surface EMG Signal

    This chapter describes some of the most commonly used techniques for processing single-channel surface electromyographic (sEMG) signals. The single-channel techniques address the interference pattern that results from the simultaneous activation of many motor units (MUs). The chapter reviews spectral estimation and traditional stochastic models applicable to the electromyographic (EMG) signal. These models are used to develop, interpret, and test most of the signal processing techniques. EMG amplitude estimates have been assessed via a common application: the use of surface EMG to estimate joint torques. The chapter explores the basic body of knowledge concerning EMG spectral analysis and how physiological parameters are reflected by surface EMG power spectra. It further focuses on the theoretical basis for the assessment of muscle fatigue during high-intensity isometric constant force contractions since this assessment is by far the most prevalent application of surface EMG spectral analysis.

  • EMG Modeling and Simulation

    This chapter outlines the main components that should be considered in the development of physiologically based models of surface electromyographic (sEMG). One of the challenges in increasing the accuracy of current sEMG models is the correct identification of the model parameters. Parameter identification is particularly difficult for systems such as this in which it is not possible to accurately measure all of the physiological, anatomical, and physical properties of the system. The chapter explores the simulation of intramuscular EMG, in particular for clinical applications. One of the primary purposes of a modeling approach is to identify the mechanisms responsible for experimental observations. A successful EMG model can thereby help the researcher to relate the recorded electrical signal to the underlying processes associated with muscle contraction. Model validation remains one of the most challenging areas in EMG modeling.

  • EMG and Posture in Its Narrowest Sense

    Surface electromyography (sEMG) has been used to identify which muscles could possibly have a significant postural role. Typically, such postural role is inspected by recording surface EMGs from different muscles when subjects sustain their body in different postures. The activation of different skeletal muscles can be well characterized for a specific posture. This chapter deals with electromyographic studies of the human standing posture. Some perturbations might be designed to reveal what happens in quiet standing. These perturbations have magnitude and bandwidth comparable to that of the spontaneous sways occurring in standing. The chapter highlights some standing- like-perturbation protocols that have been considered to investigate key aspects of the system controlling the human standing posture. It provides recent insights into the physiological interpretation of surface EMGs recorded from the pinnate gastrocnemius muscle during quiet standing. The chapter also outlines the high-density surface EMG (HDsEMG).

  • Surface EMG Applications in Neurophysiology

    This chapter focuses on the basics of surface electromyography (sEMG) and related methods for the study of human motor control and its adaptations. Recordings of voluntary sEMG provide partial information on the mechanisms involved in muscle activity. However, the combination of sEMG and methods based on electrically and magnetically evoked potentials allows stepping further in a comprehensive approach of movement strategies during tasks, and the influence of various factors such as etiology of cramps, fatigue, training, aging on such strategies. The recorded sEMG signal represents the electrical activity of numerous motor units. The chapter describes the basic methodology to record H-reflex and the relevant factors to consider when assessing its modulations. sEMG and evoked potentials provide relevant information on age-related changes within the muscle and the nervous system, as well as on the neural adjustments required to perform various motor tasks.



Standards related to Electromyography

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