9,461 resources 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
Region 3 Meeting, Technical papers, student competitions.
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.
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.
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.
Biomedical Engineering, IEEE Transactions on, 2003
The detection volume of the surface electromyographic (EMG) signal was explored using a finite-element model, to examine the feasibility of obtaining independent myoelectric control signals from regions of reinnervated muscle. The selectivity of the surface EMG signal was observed to decrease with increasing subcutaneous fat thickness. The results confirm that reducing the interelectrode distance or using double-differential electrodes can increase ...
Microwave Symposium (IMS), 2014 IEEE MTT-S International, 2014
E-healthcare refers to healthcare practice supported by the use of electronic devices and communication. As traditional internet transitions to Internet of Things, with objects and people interacting and sharing information, there are many opportunities to use that technology for improving healthcare outcomes while reducing cost. In this paper we discuss several potential applications of Internet of Things in e-healthcare, including ...
Computer Science and Information Systems (FedCSIS), 2014 Federated Conference on, 2014
Ambient Assisted Living (AAL) aims to improve the quality of daily life for all humans in different periods of life. Neural-Computer Interface (NCI) can be used within AAL environments to provide alternative communication means for impaired persons bypassing the need for speech and other motor activities. By monitoring, analyzing and responding to muscular activity (EMG signals) of users, NCI systems ...
Engineering in Medicine and Biology Society, 1992 14th Annual International Conference of the IEEE, 1992
This paper discusses an EMG controlled prosthetic forearm with three degrees of freedom actuated by small size ultrasonic motors. Its weight is less than 700 g and the size is the same as the adult's forearm. It produces no motion noise. In addition, it is possible to control six kinds of motions i.e. pronation and supnation of the forearm, flection ...
Neural Systems and Rehabilitation Engineering, IEEE Transactions on, 2014
An inability to adapt myoelectric interfaces to a novel user's unique style of hand motion, or even to adapt to the motion style of an opposite limb upon which the interface is trained, are important factors inhibiting the practical application of myoelectric interfaces. This is mainly attributed to the individual differences in the exhibited electromyogram (EMG) signals generated by the ...
Chih-Ting Chang; Chen-Ming Nien; Robert Rieger 2016 International Symposium on VLSI Design, Automation and Test (VLSI-DAT), 2016
This paper presents a low-power algorithm for the compression of biosignals (ECG, EMG, gait pattern). Sample decimation is guided by the second derivative of the signal as a metric for signal activity. Here, we describe the implementation of the algorithm on a general purpose microcontroller of the transmitter node of a body-area network. The algorithm is optimized for low computational ...
J. H. M. Frijns; S. L. de Snoo; R. Schoonhoven IEEE Transactions on Biomedical Engineering, 2000
The boundary element method (BEM) is a widely used method to solve biomedical electromagnetic volume conduction problems. The commonly used formulation of this method uses constant interpolation functions for the potential and flat triangular surface elements. Linear interpolation for the potential on a flat triangular mesh turned out to yield a better accuracy. In this paper, the authors introduce quadratic ...
Arjan Gijsberts; Barbara Caputo 2013 IEEE 13th International Conference on Rehabilitation Robotics (ICORR), 2013
Recent studies have explored the integration of additional input modalities to improve myoelectric control of prostheses. Arm dynamics in particular are an interesting option, as these can be measured easily by means of accelerometers. In this work, the benefit of accelerometer signals is demonstrated on a large scale movement classification task, consisting of 40 hand and wrist movements obtained from ...
Pol Olivella-Rosell; Guillem Viñals-Canal; Andreas Sumper; Roberto Villafafila-Robles; Bernt A. Bremdal; Iliana Ilieva; Stig Ødegaard Ottesen 2016 IEEE International Energy Conference (ENERGYCON), 2016
This paper defines a day-ahead micro-market structure and illustrates its capability of increasing distributed energy resources' integration. This micro-market mimics in the distribution level the structure of the current European day-ahead markets and their rules to introduce competition, and is based on the social welfare indicator. Micro-markets could overcome two major challenges of pool markets: they could consider the distribution ...
G. N Pradhan; N. D Engineer; M. N. Nadin; B. Prabhakaran 2007 IEEE Dallas Engineering in Medicine and Biology Workshop, 2007
Cognitive, motor and perceptual processes diminish with age and thus limit adaptive capabilities of older individuals. Our hypothesis is that with aging there is decreased expression of these proactive adaptive capabilities. These experiments were designed to test this hypothesis by implementing an integrated approach to quantifying physiological characteristics in older individuals. We are working towards building an integrated wireless motion ...
This chapter contains sections titled: Introduction Biofeedback Application to Impairment Syndromes SEMG Biofeedback Techniques Summary References
This chapter contains sections titled: Introduction Myoelectric Signal as a Control Input Conventional Myoelectric Control Emerging MEC Strategies Summary References
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.
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.
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.
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.
Motion analysis is based on measuring trajectories, rotations of joints, torque values, temporal events, and muscle activities. Force plates embedded in the floors of motion analysis laboratories measure force transfer between foot and ground during gait. Kinematics, kinetics, and surface electromyography (sEMG) are used to identify the causes of motion impairment and the resulting compensatory movements, thus enhancing clinical assessment and supporting decisions such as choice of surgery, orthoses, and rehabilitation protocols. Surface EMG can provide information on the origin of motion produced by muscle activation. EMG during task execution enables muscle activities to be assessed rather than inferred from a combination of observation of movements and clinical evaluation performed under static conditions. To ensure data reliability in applications of motion analysis, raw sEMG data on a fixed y-axis scale must be checked before five criteria: filtering, envelope computation, data normalization, clinical report creation, and statistical analysis for research purposes.
This chapter contains sections titled: The Mechanomyogram (MMG): General Aspects during Stimulated and Voluntary Contraction Detection Techniques and Sensors Comparison Comparison between Different Detectors Simulation MMG Versus Force: Joint and Adjunct Information Content MMG Versus EMG: Joint and Adjunct Information Content Area of Application References
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