41 resources related to Electromyography
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2013 25th 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.
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
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
2010 International Conference on Electrical and Control Engineering (ICECE)
recent advances, new techniques and applications in the field of Electrical Engineering and Automation Control.
Hanqing Zhao; Guoqiang Xu Strategic Technology (IFOST), 2011 6th International Forum on , 2011
An important issue in the classification of electromyography signals is the classifier design. For surface electromyography signals in the acquisition process of serious interference by the noise, in particular frequency electrical interference, we use the zero mean of the electromyography signals and the whole cycle of filtering, obtain effective extraction of the electromyography signals characteristics. we compared the whole period ...
Lingling Chen; Peng Yang; Linan Zu; Tengyu Zhang; Lifeng Li Control and Decision Conference, 2009. CCDC '09. Chinese , 2009
The surface electromyography signal of stump was applied to recognize the intention of disable people, and control the intelligent above-knee prosthesis. Since the electromyography signal was non-stationary and non- linear signal, Hilbert-Huang transform was applied to extract the frequency feature. The time and frequency features of surface electromyography signal recorded from biceps femoris of the disable people's stump, were applied ...
Jun Shi; Yong-Ping Zheng; Qing-Hua Huang; Xin Chen Biomedical Engineering, IEEE Transactions on , 2008
The aim of this study is to demonstrate the feasibility of using the continuous signals about the thickness and pennation angle changes of muscles detected in real-time from ultrasound images, named as sonomyography (SMG), to characterize muscles under isometric contraction, along with synchronized surface electromyography (EMG) and generated torque signals. The right biceps brachii muscles of seven normal young adult ...
Simmons, L.P.; Welsh, J.S. Advanced Intelligent Mechatronics (AIM), 2013 IEEE/ASME International Conference on , 2013
In this paper we discuss the development of a low cost surface electromyography (sEMG) system and its efficacy as a mechanism for human- machine interfaces. By reducing the size of the surface electromyography hardware to a compact form makes its use as a wearable interface feasible. Reducing both the system cost and complexity while maintaining signal quality also moves towards ...
Al-Timemy, A.H.; Bugmann, G.; Escudero, J.; Outram, N. Biomedical and Health Informatics, IEEE Journal of , 2013
A method for the classification of finger movements for dexterous control of prosthetic hands is proposed. Previous research was mainly devoted to identify hand movements as these actions generate strong electromyography (EMG) signals recorded from the forearm. In contrast, in this paper, we assess the use of multichannel surface electromyography (sEMG) to classify individual and combined finger movements for dexterous ...
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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.