Results 151 to 160 of about 9,497 (203)

SEMG Evaluations: An Overview

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, Mary, Donaldson, Leslie, Snelling   +2 more
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Analysis of the sEMG/force relationship using HD-sEMG technique and data fusion: A simulation study

Computers in Biology and Medicine, 2017
The relationship between the surface Electromyogram (sEMG) signal and the force of an individual muscle is still ambiguous due to the complexity of experimental evaluation. However, understanding this relationship should be useful for the assessment of neuromuscular system in healthy and pathological contexts.
Frédéric Marin, Sofiane Boudaoud, Jeremy Laforêt   +2 more
exaly   +4 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, 2015
Facial 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, Amir-Mohammad Rahmani, Tomi Westerlund, Pasi Liljeberg, Hannu Tenhunen   +4 more
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Standard Deviation of sEMG

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, S. Camille Peres, William Amonette, Paul Ritchey   +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, 2008
Independent 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), Kumar, Dinesh K., Arjunan, Sridhar P., Palaniswami, Marimuthu   +3 more
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Limitations and Applications of ICA in Facial sEMG and Hand Gesture sEMG for Human Computer Interaction

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, Dinesh Kant Kumar, Sridhar Poosapadi Arjunan, Hans Weghorn, Marimuthu Palaniswami   +4 more
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A sEMG Recording System

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, Jie Bai, Sheng Xin Wang, Jie Zhao, Xiao Yan Li   +4 more
openaire   +1 more source

Performance evaluation of haptically enabled sEMG

2018 International Symposium on Medical Robotics (ISMR), 2018
Commodity 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, Kevin Huang 0001, Howard Jay Chizeck   +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, 2013
In 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, Ya-Juan Song, Li-Ye Ren, Lirong Wang   +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), 2019
Surface 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, Gerardo Hernández Nava, José Antonio Melía Licona, Jorge Airy Mercado Gutiérrez, Ana Valeria Aguirre Guemez, Jimena Quinzaños Fresnedo, Arturo Vera Hernández, Lorenzo Leija Salas, Josefina Gutiérrez-Martínez   +8 more
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