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.



Most published Xplore authors for Electromyography

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Xplore Articles related to Electromyography

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Fuzzy entropy based nonnegative matrix factorization for muscle synergy extraction

Beth Jelfs; Ling Li; Chung Tin; Rosa U. M. Chan 2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2016

The concept of muscle synergies has proven to be an effective method for representing patterns of muscle activation. The number of degrees of freedom to be controlled are reduced while also providing a flexible platform for producing detailed movements using synergies as building blocks. It has previously been shown that small components of movement are crucial to producing precise and ...


Delay estimation between EEG and EMG via coherence with time lag

Yuhang Xu; Verity M. McClelland; Zoran Cvetkovic; Kerry R. Mills 2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2016

The traditional way to estimate the time delay between the motor cortex and the periphery is based on the estimation of the slope of the phase of the cross spectral density between motor cortex electroencephalogram (EEG) and electromyography (EMG) signals recorded synchronously during a motor control task. There are several issues that could make the delay estimation using this method ...


Muscle activity detection from myoelectric signals based on the AR-GARCH model

Ghulam Rasool; Nidhal Bouaynaya; Kamran Iqbal 2012 IEEE Statistical Signal Processing Workshop (SSP), 2012

Myoelectric (EMG) signals contain temporal muscle activation information, that is essential in understanding and diagnosing neuromuscular disorders. Given the biological stochasticity and measurement noise, statistical signal processing methods are adopted in the literature to detect the muscle activity onset and offset periods. However, these methods carry an implicit assumption of stationarity. In this paper, we show that the EMG signal ...


A study on precognition of walking patterns for a power assist robot legs

Dae Seob Shin; Hyeongcheol Lee 2011 11th International Conference on Control, Automation and Systems, 2011

In recent times, The assist robots are widely used to assist walking of the old and the weak and disabled as well as to rehabilitate the injured by helping with muscle strengthening exercises. In this study, we present walking patterns method of precognition for the control of the walking-assistance robot legs for the old and the infirm. We extracted the ...


Integrative measurement of biological information during voluntary movement

Kazuya Saito; Young-il Park; Masafumi Uchida 2009 ICCAS-SICE, 2009

In general the voluntary movement is so easy to change at every trial. In this paper, handwritten characters are focused as one of the voluntary movement. Then our early study had developed the integrative measurement system and researched the relationships between changes of the character shapes and biological information. The system is mainly consisted of EMG, EEG, EOG measurement systems, ...


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Educational Resources on Electromyography

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eLearning

Fuzzy entropy based nonnegative matrix factorization for muscle synergy extraction

Beth Jelfs; Ling Li; Chung Tin; Rosa U. M. Chan 2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2016

The concept of muscle synergies has proven to be an effective method for representing patterns of muscle activation. The number of degrees of freedom to be controlled are reduced while also providing a flexible platform for producing detailed movements using synergies as building blocks. It has previously been shown that small components of movement are crucial to producing precise and ...


Delay estimation between EEG and EMG via coherence with time lag

Yuhang Xu; Verity M. McClelland; Zoran Cvetkovic; Kerry R. Mills 2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2016

The traditional way to estimate the time delay between the motor cortex and the periphery is based on the estimation of the slope of the phase of the cross spectral density between motor cortex electroencephalogram (EEG) and electromyography (EMG) signals recorded synchronously during a motor control task. There are several issues that could make the delay estimation using this method ...


Muscle activity detection from myoelectric signals based on the AR-GARCH model

Ghulam Rasool; Nidhal Bouaynaya; Kamran Iqbal 2012 IEEE Statistical Signal Processing Workshop (SSP), 2012

Myoelectric (EMG) signals contain temporal muscle activation information, that is essential in understanding and diagnosing neuromuscular disorders. Given the biological stochasticity and measurement noise, statistical signal processing methods are adopted in the literature to detect the muscle activity onset and offset periods. However, these methods carry an implicit assumption of stationarity. In this paper, we show that the EMG signal ...


A study on precognition of walking patterns for a power assist robot legs

Dae Seob Shin; Hyeongcheol Lee 2011 11th International Conference on Control, Automation and Systems, 2011

In recent times, The assist robots are widely used to assist walking of the old and the weak and disabled as well as to rehabilitate the injured by helping with muscle strengthening exercises. In this study, we present walking patterns method of precognition for the control of the walking-assistance robot legs for the old and the infirm. We extracted the ...


Integrative measurement of biological information during voluntary movement

Kazuya Saito; Young-il Park; Masafumi Uchida 2009 ICCAS-SICE, 2009

In general the voluntary movement is so easy to change at every trial. In this paper, handwritten characters are focused as one of the voluntary movement. Then our early study had developed the integrative measurement system and researched the relationships between changes of the character shapes and biological information. The system is mainly consisted of EMG, EEG, EOG measurement systems, ...


More eLearning Resources

IEEE.tv Videos

No IEEE.tv Videos are currently tagged "Electromyography"

IEEE-USA E-Books

  • Front Matter

    The prelims comprise: Half-Title Page Title Page Copyright Page Contents Introduction Acknowledgments Contributors

  • Applications in Movement and Gait Analysis

    This chapter contains sections titled: Relevance of Electromyography in Kinesiology Typical Acquisition Settings Study of Motor Control Strategies Investigation on the Mechanical Effect of Muscle Contraction Gait Analysis Identification of Pathophysiologic Factors Workload Assessment in Occupational Biomechanics Biofeedback The Linear Envelope Information Enhancement through Multifactorial Analysis References

  • Physiology of Muscle Activation and Force Generation

    This chapter describes the physiology of muscle activation and force generation. It discusses the anatomy of the final common pathway from the nervous system to muscle, the electrical properties of motor neurons and muscle fibers, and the contractile properties of muscle fibers and motor units. The chapter presents the concept of motor unit types and the control of muscle force by modulating the recruitment and rate coding of motor unit activity. The muscle unit comprises the muscle fibers innervated by a single motor neuron and corresponds to the peripheral element of the motor unit. The combinations of motor unit recruitment and rate coding that contribute to the actions performed by a muscle vary across its operating range, which requires caution when interpreting details about the activation signal from surface EMG recordings. EMG recordings of muscle fiber action potentials provide information about the activation of motor neurons.

  • Muscle Coordination, Motor Synergies, and Primitives from Surface EMG

    To investigate neural control strategies, muscle activity must be measured during motor behavior. Recent advances in the investigation of the neural control of movement have led to a re-examination of the mechanisms of sensorimotor integration in the central nervous system (CNS) and in the spinal circuitry in particular. This chapter considers different approaches used to uncover the modular organization of the motor output in human behaviors such as responding to postural perturbations, reaching with the arm, and locomotion, as well as its plasticity and flexibility in movement disorders. It also investigates the strategies that the CNS employs to coordinate the activation of many muscles start from electromyographic (EMG) signals recorded simultaneously from many muscles. Different muscle synergies models are used to decompose the EMG envelopes using appropriate factorization algorithms. The chapter further considers the spatiotemporal organization of the activity patterns of leg and trunk muscles during locomotion.

  • Applications in Rehabilitation Medicine and Related Fields

    This chapter contains sections titled: Introduction Electromyography as a Tool in Back and Neck Pain EMG of the Pelvic Floor: A New Challenge in Neurological Rehabilitation Age-Related Effects on EMG Assessment of Muscle Physiology Surface EMG and Hypobaric Hipoxia Microgravity Effects on Neuromuscular System References

  • 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.

  • Needle and Wire Detection Techniques

    This chapter contains sections titled: Anatomical and Physiological Background of Intramuscular Recording Recording Characteristics of Needle Electrodes Conventional Needle EMG Special Needle Recording Techniques Physical Characteristics of Needle EMG Signals Recording Equipment References

  • 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 Modeling and Simulation

    This chapter contains sections titled: Introduction Phenomenological Models of EMG Elements of Structure-Based SEMG Models Basic Assumptions Elementary Sources of Bioelectric Muscle Activity Fiber Membrane Activity Profiles, Their Generation, Propagation, and Extinction Structure of the Motor Unit Volume Conduction Modeling EMG Detection Systems Modeling Motor Unit Recruitment and Firing Behavior Inverse Modeling Modeling of Muscle Fatigue Other Applications of Modeling Conclusions References

  • Biofeedback Applications

    This chapter contains sections titled: Introduction Biofeedback Application to Impairment Syndromes SEMG Biofeedback Techniques Summary References



Standards related to Electromyography

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