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We propose a joint force estimation method to compute elbow flexion force using surface electromyogram (sEMG) considering time-varying effects in a fatigue condition. Muscle fatigue is a major cause inducing sEMG changes with respect to time over long periods and repetitive contractions. The proposed method composed the muscle-twitch model representing the force generated by a single spike and the...
This research aims to develop electric prosthetic hand that electrically activated using 2-channel surface electromyography (sEMG'), relied on physiological principle, biomedical electronics and microcontroller programming. Our development and designing controller are a 3-fingers robotic hand. A prototype consisted of 4 main components: 1) sEMG signal detector with electrodes, 2) signal conditioning...
The electromyography (EMG) signals give information about different features of muscle function. A vast body of literature is devoted to the description and analysis of the muscular system abnormalities, the appearance of the fatigue and some factors who influence the muscular force, etc., recording EMG signals, which are very usefully in medical diagnosis and not only. This study is concerned with...
Surface electromyography (sEMG) technology is used to record and display the electrical activities of human muscles, by which researchers are able to make a muscle force evaluation. In this study, in order to accurately feedback the information about athletes' forearm force training, the Maximum Voluntary Contraction (MVC) is proved as the indicator of maximum forearm muscle force by developing a...
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