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Electromyography (EMG) employs widespread usage of rehabilitation robotics. EMG informs about the maximum capabilities of muscles and allows comparisons between different tasks performed. This presents a comparitive study % MVC (Maximum Voluntary Contraction) hand muscles among 30 to 60 years of age group. The movement considered are flexion and extension of elbow and wrist, pronation and supination...
Ten female individuals (age = 21 ± 2 years; weight = 50 ± 2 kg; height = 160 ± 3 cm) were analyzed. For the determination of the electromyographic fatigue threshold (EMGft), four percentages of load (10, 20, 30 and 40%), in relation the maximum voluntary contraction (MVC) were used, until the subjective exhaustion. The biosignals in these percentages had been linearly adjusted in domain of the number...
This research deals with computing the non-Gaussianity in Surface Electromyogram signal (sEMG) using Negative entropy and Kurtosis values. The signal was acquired from three different finger and wrist actions at four different levels of Maximum Voluntary Contractions (MVCs). Our experimental analysis shows that at constant force and for non-fatiguing contractions, probability density function (pdf)...
Motor unit recruitment pattern represents the time-frequency characteristics of muscle contraction. The Continuous Wavelet Transform (CWT) is a time-frequency signal analysis but its ability to identify motor unit recruitment pattern is still unclear. The purpose of this study was to validate the CWT in identifying the differences in motor unit recruitment pattern, regarding time-space domains, between...
Despite growing interest in the behavior of electromyographic signals during muscle fatigue, few studies investigate fatigue recovery. In this work, we use surface electromyographic signals to determine the recovery time after isometric fatigue of the biceps brachii muscle in 90° flexion of the non-dominant elbow. Sixty volunteers were arranged into six experimental groups. Experiments were performed...
This research paper reports an experimental study on identification of the changes in fractal properties of surface Electromyogram (sEMG) with the changes in the force levels during low-level finger flexions. In the previous study, the authors have identified a novel fractal feature, Maximum fractal length (MFL) as a measure of strength of low-level contractions and has used this feature to identify...
The objective of this study was to evaluate the usefulness of AM-FM features extracted from surface electromyographic (SEMG) signals for the assessment of neuromuscular disorders at different force levels. SEMG signals were recorded from a total of 40 subjects, 20 normal and 20 patients, at 10%, 30%, 50%, 70% and 100% of maximum voluntary contraction (MVC), from the biceps brachii muscle. From the...
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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