Electromyography
6,147 resources related to Electromyography
IEEE Organizations related to Electromyography
Back to TopConferences related to Electromyography
Back to TopThe world's premiere conference in MEMS sensors, actuators and integrated micro and nano systems welcomes you to attend this four-day event showcasing major technological, scientific and commercial breakthroughs in mechanical, optical, chemical and biological devices and systems using micro and nanotechnology.The major areas of activity in the development of Transducers solicited and expected at this conference include but are not limited to: Bio, Medical, Chemical, and Micro Total Analysis Systems Fabrication and Packaging Mechanical and Physical Sensors Materials and Characterization Design, Simulation and Theory Actuators Optical MEMS RF MEMS Nanotechnology Energy and Power
2018 15th International Workshop on Advanced Motion Control (AMC)
1. Advanced Motion Control2. Haptics, Robotics and Human-Machine Systems3. Micro/Nano Motion Control Systems4. Intelligent Motion Control Systems5. Nonlinear, Adaptive and Robust Control Systems6. Motion Systems for Robot Intelligence and Humanoid Robotics7. CPG based Feedback Control, Morphological Control8. Actuators and Sensors in Motion System9. Motion Control of Aerial/Ground/Underwater Robots10. Advanced Dynamics and Motion Control11. Motion Control for Assistive and Rehabilitative Robots and Systems12. Intelligent and Advanced Traffic Controls13. Computer Vision in Motion Control14. Network and Communication Technologies in Motion Control15. Motion Control of Soft Robots16. Automation Technologies in Primary Industries17. Other Topics and Applications Involving Motion Dynamics and Control
The MG-XVI conference will take place between September 25-29, 2018 at the UTokyo Kashiwa Campus, near Tokyo, Japan. The MG XVI conference will serve as a platform for scientists to exchange information and ideas among the members of the international scientific community in the domain of generation and application of ultra-high magnetic fields, high-energy and high-current pulsed power physics and technology, magnetic-flux compression technologies for the production of multi-megagauss fields, high magnetic field applications in basic and applied research in solid-state physics, atomic physics and chemistry, high energy density physics and for other related and novel technical applications. The MG XVI conference encourages opportunities for a strong interaction and networking among experienced and young scientists, engineers, and students involved in this extremely interesting and unique research area.
The conference program will consist of plenary lectures, symposia, workshops and invitedsessions of the latest significant findings and developments in all the major fields of biomedical engineering.Submitted papers will be peer reviewed. Accepted high quality papers will be presented in oral and postersessions, will appear in the Conference Proceedings and will be indexed in PubMed/MEDLINE
2018 Asia-Pacific Microwave Conference (APMC)
The conference topics include microwave theory and techniques, and their related technologies and applications. They also include active devices and circuits, passive components, wireless systems, EMC and EMI, wireless power transfer and energy harvesting, antennas and propagation, and others.
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Periodicals related to Electromyography
Back to TopBiomedical Circuits and Systems, IEEE Transactions on
The Transactions on Biomedical Circuits and Systems addresses areas at the crossroads of Circuits and Systems and Life Sciences. The main emphasis is on microelectronic issues in a wide range of applications found in life sciences, physical sciences and engineering. The primary goal of the journal is to bridge the unique scientific and technical activities of the Circuits and Systems ...
Biomedical Engineering, IEEE Reviews in
The IEEE Reviews in Biomedical Engineering will review the state-of-the-art and trends in the emerging field of biomedical engineering. This includes scholarly works, ranging from historic and modern development in biomedical engineering to the life sciences and medicine enabled by technologies covered by the various IEEE societies.
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.
Engineering in Medicine and Biology Magazine, IEEE
Both general and technical articles on current technologies and methods used in biomedical and clinical engineering; societal implications of medical technologies; current news items; book reviews; patent descriptions; and correspondence. Special interest departments, students, law, clinical engineering, ethics, new products, society news, historical features and government.
Geoscience and Remote Sensing, IEEE Transactions on
Theory, concepts, and techniques of science and engineering as applied to sensing the earth, oceans, atmosphere, and space; and the processing, interpretation, and dissemination of this information.
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Most published Xplore authors for Electromyography
Back to TopXplore Articles related to Electromyography
Back to TopAnalysis of muscle fatigue induced by isometric vibration exercise at varying frequencies
[{u'author_order': 1, u'affiliation': u'Department of Electrical Engineering, Eindhoven University of Technology, the Netherlands', u'full_name': u'M. Mischi'}, {u'author_order': 2, u'affiliation': u'Department of Electrical Engineering, Eindhoven University of Technology, the Netherlands', u'full_name': u'C. Rabotti'}, {u'author_order': 3, u'affiliation': u'British Olympic Association, London, UK', u'full_name': u'M. Cardinale'}] 2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, None
An increase in neuromuscular activity, measured by electromyography (EMG), is usually observed during vibration exercise. The underlying mechanisms are however unclear, limiting the possibilities to introduce and exploit vibration training in rehabilitation programs. In this study, a new training device is used to perform vibration exercise at varying frequency and force, therefore enabling the analysis of the relationship between vibration ...
Design principles for noninvasive brain-machine interfaces
[{u'author_order': 1, u'affiliation': u'Department of Kinesiology, and the Graduate Programs in Bioengineering, and Neuroscience and Cognitive Science, University of Maryland, College Park, MD 20742 USA', u'full_name': u'Jos\xe9 L. Contreras-Vidal'}, {u'author_order': 2, u'affiliation': u'Fischell Department of Bioengineering, University of Maryland, College Park, MD 20742 USA', u'full_name': u'Trent J. Bradberry'}] 2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, None
With the advent of sophisticated prosthetic limbs, the challenge is now to develop and demonstrate optimal closed-loop control of the these limbs using neural measurements from single/multiple unit activity (SUA/MUA), electrocorticography (ECoG), local field potentials (LFP), scalp electroencephalography (EEG) or even electromyography (EMG) after targeted muscle reinnervation (TMR) in subjects with upper limb disarticulation. In this paper we propose design ...
Real-time muscle fiber conduction velocity tracker for diabetic neuropathy monitoring
[{u'author_order': 1, u'affiliation': u'Dept. of Electrical and Information Engineering (DEI), Politecnico di Bari, Bari, Italy', u'full_name': u'Giovanni Mezzina'}, {u'author_order': 2, u'affiliation': u'Dept. of Electrical and Information Engineering (DEI), Politecnico di Bari, Bari, Italy', u'full_name': u'Vito Leonardo Gallo'}, {u'author_order': 3, u'affiliation': u'Dept. of Electrical and Information Engineering (DEI), Politecnico di Bari, Bari, Italy', u'full_name': u'Daniela De Venuto'}] 2017 7th IEEE International Workshop on Advances in Sensors and Interfaces (IWASI), None
This paper describes the architecture of a wearable, wireless embedded system for the Diabetic Peripheral Neuropathy (DPN) assessment in ordinary dynamic movements, such as a fluid gait. In this context, the EMG analysis can provide information about the nerves status by estimating the linked Muscle Fiber Conduction Velocity (MFCV). The system operates with synchronized and digitized data samples from 4 ...
New classification algorithm for electromyography-based computer cursor control system
[{u'author_order': 1, u'affiliation': u'Dept. of Electr. & Comput. Eng., Florida Int. Univ., Miami, FL, USA', u'full_name': u'C. Chin'}, {u'author_order': 2, u'affiliation': u'Dept. of Electr. & Comput. Eng., Florida Int. Univ., Miami, FL, USA', u'full_name': u'A. N. Barreto'}, {u'author_order': 3, u'affiliation': u'Dept. of Electr. & Comput. Eng., Florida Int. Univ., Miami, FL, USA', u'full_name': u'Jing Zhai'}, {u'author_order': 4, u'affiliation': u'Dept. of Electr. & Comput. Eng., Florida Int. Univ., Miami, FL, USA', u'full_name': u'Chao Li'}] Proceedings. IEEE SoutheastCon, 2005., None
At present, a three-input electromyography (EMG) system has been created to provide real-time, hands-free cursor control. The system uses the real-time spectral analysis of three EMG signals to produce the following five cursor actions: i) LEFT, ii) RIGHT, iii) UP, iv) DOWN, v) LEFT-CLICK. The three EMG signals are obtained from two surface electrodes placed on the left and right ...
Brisk movement imagination for the non-invasive control of neuroprostheses: A first attempt
[{u'author_order': 1, u'affiliation': u'Institute for Knowledge Discovery, BCI-Lab, Graz University of Technology, Krenngasse 37, 8010 Graz, Austria', u'full_name': u'Gernot R. M\xfcller-Putz'}, {u'author_order': 2, u'affiliation': u'Institute for Knowledge Discovery, BCI-Lab, Graz University of Technology, Krenngasse 37, 8010 Graz, Austria', u'full_name': u'Patrick Ofner'}, {u'author_order': 3, u'affiliation': u'Institute for Knowledge Discovery, BCI-Lab, Graz University of Technology, Krenngasse 37, 8010 Graz, Austria', u'full_name': u'Vera Kaiser'}, {u'author_order': 4, u'affiliation': u'Institute for Knowledge Discovery, BCI-Lab, Graz University of Technology, Krenngasse 37, 8010 Graz, Austria', u'full_name': u'Guillaume Clauzel'}, {u'author_order': 5, u'affiliation': u'Institute for Knowledge Discovery, BCI-Lab, Graz University of Technology, Krenngasse 37, 8010 Graz, Austria', u'full_name': u'Christa Neuper'}] 2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, None
The consequences of a spinal cord injury (SCI) are tremendous for the patients. The loss of motor functions, especially of grasping, leads to a dramatic decrease in quality of life. With the help of neuroprostheses, the grasp function can be substantially improved in cervical SCI patients. Nowadays, systems for grasp restoration can only be used by patients with preserved voluntary ...
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Educational Resources on Electromyography
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IEEE-USA E-Books
Operant Conditioning of Spinal Reflexes for Motor Rehabilitation after CNS Damage
Spinal reflex behaviors can be changed through operant conditioning, in which modification of a behavior is brought about by the consequence of that behavior. Spinal reflex conditioning can be used to change a spinal reflex pathway so as to ameliorate movement disabilities due to central nervous system (CNS) damage. This chapter demonstrates that operant conditioning can increase or decrease the soleus H-reflex in neurologically intact people, and investigates whether down-conditioning can reduce abnormal soleus H-reflex excitability in people with incomplete SCI and can thereby alleviate spastic gait. Finally, operant conditioning protocols that focus on modifying EEG activity over sensorimotor cortex might conceivably provide an additional approach to improving cortical control of motor function.
Applications in Musculoskeletal Physical Therapy
Surface electromyography (sEMG) is typically applied in musculoskeletal physical therapy for the assessment of disturbed motor control and for monitoring change with rehabilitation. This chapter explores fundamental methods of EMG assessment as a means of evaluating neuromuscular impairment in patients with musculoskeletal disorders with a focus on two of the most common musculoskeletal complaints, namely, low back pain and neck pain. Distinct modifications of the sEMG signal can be identified during sustained voluntary or electrically elicited muscle contractions, and the analysis of myoelectric manifestations of muscle fatigue can provide important information about physiological changes evolving in the muscle. The amplitude of the surface EMG can be estimated by a scheme of demodulation, smoothing, and relinearization. An approach to monitoring the amplitude of activity of muscles with sEMG is to measure tuning curves. The chapter further reviews some of the most frequently applied analyses in musculoskeletal physical therapy research.
This chapter presents the conclusions described in the book related to the fusion of hard control strategies such as proportional integral‐derivative (PID), optimal, adaptive, and soft control strategies such as adaptive neuro‐fuzzy inference system (ANFIS), genetic algorithms (GA), particle swarm optimization (PSO), for a robotic or prosthetic hand. Chapter 2 of the book addressed the forward kinematics, inverse kinematics, and differential kinematics models of a serial n revolute‐joint planar two‐link thumb, and three‐link index finger. The fingertip (end‐effector) positions of each finger were derived by forward kinematics. Chapter 3 of the book described the dynamic equations of hand motion successfully derived via Lagrangian approach for two‐link thumb and three‐link fingers using the mathematical model of the actuator by using direct current (DC) motor and mechanical gears.
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.
Myoelectric Prostheses and Targeted Reinnervation
A number of factors have led to a resurgence of myoelectric control research since the early 2000s. First, low-power electronics have developed to the point where multichannel pattern recognition algorithms can readily be implemented on an embedded system. Second, due to a large number of high-level amputees resulting from recent military conflicts, governments have initiated well-funded programs to improve neural interfaces for prosthetics. Finally, new and innovative neural¿¿-¿¿machine interfaces, such as targeted muscle reinnervation (TMR), have been developed to provide a rich source of neural information from which control signals can be derived. This chapter provides an overview of existing myoelectric control strategies, highlighting the benefits and limitations of both conventional and pattern recognition techniques, and TMR. The chapter concludes with a summary of exciting emerging technologies that have the potential to further enhance the field of myoelectric control.
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).
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.
Surface EMG in Ergonomics and Occupational Medicine
Prevention of musculoskeletal disorders is one of the main goals in ergonomics. The development of methods to quantify muscle force, fatigue, and muscle involvement in a work task is important for this purpose surface electromyography (sEMG) and kinematic measurements are the main tools for the quantitative evaluation of risks related to work activity. The literature regarding the potential of sEMG techniques in ergonomic studies is extensive and concerns many applications, some of which are listed: work at display terminals and office workstations, production line workstations, work with surgical workstations and workspace optimization. Surface EMG has a remarkable potential role in the prevention, monitoring, documentation, and possibly treatment of work related disorders. Insufficient research funding and standardization efforts are still limiting its applications. Much greater research efforts are required to transform its potential into a practical technique with clinical and legal relevance and economic impact on work health.
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.
This chapter presents introductory material on relevance to military, overview of control strategies, fusion of hard and soft control strategies, and summary of the remaining chapters of the book "Fusion of Hard and Soft Control Strategies for the Robotic Hand." The proposed book is an outgrowth of the interdisciplinary Biomedical Sciences and Engineering (BMSE) research project exemplifying "The Third Revolution: The Convergence of Life Sciences, Physical Sciences, and Engineering." Bio‐Revolution is one of the eight strategic research thrusts that DARPA is emphasizing in response to emerging trends and national security. Electromyographic (EMG) signal is a simple and easily obtainable source of information about various movements to be used for artificial or prosthetic hand. A probabilistic model of the EMG pattern was formulated in the feature space of integral absolute value (IAV) to provide the relation between a command, represented by motion and speed variables, and the location and shape of the pattern for real‐time control of a prosthetic or robotic arm.
Standards related to Electromyography
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