Results 181 to 190 of about 19,737 (228)
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Applied Psychophysiology and Biofeedback, 2003
This article reviews the current techniques of surface electromyography (SEMG) assessment. Discussed are static, dynamic, and combination assessment techniques and the rational for their use.
Stuart, Donaldson +2 more
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This article reviews the current techniques of surface electromyography (SEMG) assessment. Discussed are static, dynamic, and combination assessment techniques and the rational for their use.
Stuart, Donaldson +2 more
openaire +2 more sources
Facial Expression Recognition with sEMG Method
2015 IEEE International Conference on Computer and Information Technology; Ubiquitous Computing and Communications; Dependable, Autonomic and Secure Computing; Pervasive Intelligence and Computing, 2015Facial expression recognition has broad application prospects in the fields of psychological study, nursing care, Human Computer Interaction as well as affective computing. The method with surface Electromyogram (sEMG), which is one of vital bio-signals, has its superiority in several aspects such as high temporal resolution and data processing ...
Mingzhe Jiang +4 more
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Proceedings of the Human Factors and Ergonomics Society Annual Meeting, 2013
Certain muscle activities (e.g. static muscle activities for prolonged periods of time) and resultant movement patterns may be associated with the development of cumulative trauma disorders. Currently, there is no simple, well-defined measure to discern if a muscle is performing a static or dynamic activity.
Timothy J. Duffield +3 more
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Certain muscle activities (e.g. static muscle activities for prolonged periods of time) and resultant movement patterns may be associated with the development of cumulative trauma disorders. Currently, there is no simple, well-defined measure to discern if a muscle is performing a static or dynamic activity.
Timothy J. Duffield +3 more
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INDEPENDENT COMPONENT APPROACH TO THE ANALYSIS OF HAND GESTURE sEMG AND FACIAL sEMG
Biomedical Engineering: Applications, Basis and Communications, 2008Independent component analysis algorithm, a recently developed multivariate statistical data analysis technique, has been successfully used for signal extraction in the field of biomedical and statistical signal processing. This paper reviews the concept of ICA and demonstrates its usefulness and limitations in the context of surface electromyogram ...
Naik, Ganesh R. (R19010) +3 more
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Key Engineering Materials, 2014
The sEMG (surface electromyographic) plays a significant role in the rehabilitation medicine, particularly in exoskeleton robotic treatment. A sEMG recording system using STM32F407 DISCOVERY development board and Labview software, combined with multiple signal acquisition sensors was proposed in this paper. The UC/OS-II operating system was embedded in
Yong Sheng Gao +4 more
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The sEMG (surface electromyographic) plays a significant role in the rehabilitation medicine, particularly in exoskeleton robotic treatment. A sEMG recording system using STM32F407 DISCOVERY development board and Labview software, combined with multiple signal acquisition sensors was proposed in this paper. The UC/OS-II operating system was embedded in
Yong Sheng Gao +4 more
openaire +1 more source
9th Biennial Conference of the Australian Pattern Recognition Society on Digital Image Computing Techniques and Applications (DICTA 2007), 2007
In the recent past, there has been an increasing trend of using Blind Signal Separation (BSS) or Independent Component Analysis (ICA) algorithm for bio medical data, especially in prosthesis and Human Computer Interaction (HCI) applications. This paper reviews the concept of BSS and demonstrates its usefulness and limitations in the context of surface ...
Ganesh R. Naik +4 more
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In the recent past, there has been an increasing trend of using Blind Signal Separation (BSS) or Independent Component Analysis (ICA) algorithm for bio medical data, especially in prosthesis and Human Computer Interaction (HCI) applications. This paper reviews the concept of BSS and demonstrates its usefulness and limitations in the context of surface ...
Ganesh R. Naik +4 more
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Performance evaluation of haptically enabled sEMG
2018 International Symposium on Medical Robotics (ISMR), 2018Commodity electromyography (EMG) armbands are inexpensive tools and provide a platform for new human-computer interfaces. EMG devices measure electrical activity which is associated with muscle movement. These digitally encoded signals present a novel channel in human computer interaction whereby a user's muscle movements govern inputs. However, issues
Tyson Heo +2 more
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The Research and Application of sEMG in Massage Assessment
2013 IEEE 9th International Conference on Mobile Ad-hoc and Sensor Networks, 2013In this paper, through the study of the characteristic rule of rolling massage experts' forearm surface EMG signal (sEMG) in rolling massage, the rolling massage analysis and evaluation methods based on the analysis of sEMG is presented. Therefore, during the implementation of rolling massage, muscle semg signals of the massage's three block muscle was
Pin Feng +3 more
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ON/OFF sEMG Switch for FES Activation
2019 16th International Conference on Electrical Engineering, Computing Science and Automatic Control (CCE), 2019Surface electromyography (sEMG) is the electrical representation of muscle activity. In the case of patients with central nervous system damage, sEMG signals can be used as a control signal to start therapies at patient demand. This is achieved by means of processing such signals using different families of wavelets to clear the signal from baseline ...
Cinthya L. Toledo-Peral +8 more
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A Novel Method of sEMG Signal Segmentation
2013 IEEE 9th International Conference on Mobile Ad-hoc and Sensor Networks, 2013In our lower limb rehabilitation system, the surface electromyography (sEMG) signal is adopted as the signal of human-machine interface. In order to be able to control rehabilitation robot in real time, the paper proposes a new and real-time sEMG signal segmentation method P&WND that is accomplished by way of the analysis of peak information and adding
Lei Shi, Zhen Liu, Qiang Wang
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