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IEEE SOUTHEASTCON 2013Visit website
Region 3 Meeting, Technical papers, student competitions
2012 24th Chinese Control and Decision Conference (CCDC)Visit website
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 IEEE 10th International Conference on Electronic Measurement & Instruments (ICEMI)Visit website
50 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.
2010 International Conference on Electrical and Control Engineering (ICECE)
recent advances, new techniques and applications in the field of Electrical Engineering and Automation Control.
2010 Third International Symposium on Intelligent Information Technology and Security Informatics (IITSI)
Intelligent Information Technology and Security Informatics is concerned with the study of the development and use of advanced information technologies and systems for national, international, and societal security-related applications.
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 to ...
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 ...
Yang Guangying; Yang Shanxiao Intelligent Information Technology and Security Informatics (IITSI), 2010 Third International Symposium on, 2010
Recently, computer scientists have realized the importance of emotions in human interactions with the environment. Psychophysiological studies of emotion have typically used static simulation to elicit emotion. In this paper an analysis of the properties of four Electromyography (EMG) signals employed in emotion recognition is presented. Experiment analyzes wavelet transform of surface Electromyography (EMG) to extract the maximum and minimum ...
Zhizeng Luo; Fei Wang; Wenjie Ma Mechatronic and Embedded Systems and Applications, Proceedings of the 2nd IEEE/ASME International Conference on, 2006
In order to implement the bionic control of powered prostheses for the handicapped effectively, it is necessary to achieve pattern classification for myoelectric signals. In this paper, a method combining AR model with high-order neural network to process surface electromyography is presented. After pro-processing of the acquired electromyography signals, a quartuple eigenvector is constructed by using the coefficients of AR ...
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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.