نتایج جستجو برای: emg signals

تعداد نتایج: 197662  

Human mastication is a common rhythmic behavior and a complex biomechanical process which is hard to reproduce. Today, investigating the relation between electrical activity of muscles and force signals is of high importance in many applications including gait analysis, orthopedics, rehabilitation, ergonomic design, haptic technology, tele-presence surgery and human-machine interaction. Surface...

Journal: :Journal of electromyography and kinesiology : official journal of the International Society of Electrophysiological Kinesiology 2010
Lev Vaisman José Zariffa Milos R Popovic

While many approaches have been proposed to identify the signal onset in EMG recordings, there is no standardized method for performing this task. Here, we propose to use a change-point detection procedure based on singular spectrum analysis to determine the onset of EMG signals. This method is suitable for automated real-time implementation, can be applied directly to the raw signal, and does ...

2012
Angkoon Phinyomark Sirinee Thongpanja Huosheng Hu Pornchai Phukpattaranont Chusak Limsakul

Rich useful information can be obtained from the muscles and researchers can use such information in a wide class of clinical and engineering applications by measuring surface electromyography (EMG) signals (Merletti & Parker, 2004). Normally, EMG signals are acquired by surface electrodes that are placed on the skin superimposed on the targeted muscle. In order to use the EMG signal as a diagn...

2015
Fabiano Araujo Soares João Luiz Azevedo Carvalho Cristiano Jacques Miosso Marcelino Monteiro de Andrade Adson Ferreira da Rocha

In surface electromyography (surface EMG, or S-EMG), conduction velocity (CV) refers to the velocity at which the motor unit action potentials (MUAPs) propagate along the muscle fibers, during contractions. The CV is related to the type and diameter of the muscle fibers, ion concentration, pH, and firing rate of the motor units (MUs). The CV can be used in the evaluation of contractile properti...

2012
Valery I. Rupasov Mikhail A. Lebedev Joseph S. Erlichman Michael Linderman

We examined time-dependent statistical properties of electromyographic (EMG) signals recorded from intrinsic hand muscles during handwriting. Our analysis showed that trial-to-trial neuronal variability of EMG signals is well described by the lognormal distribution clearly distinguished from the Gaussian (normal) distribution. This finding indicates that EMG formation cannot be described by a c...

2011
M. Veterník M. Šimera J. Jakuš I. Poliaček

Linearity of values of rectified and integrated EMG signals with frequency of incidence of action potentials in muscle fibers and the effect of moving average window width on the range of values of integrated signals was tested on theoretical model. Our simulations of 4 overlapping single units multipotential signal demonstrated that integrated EMG signals are only approximately linearly propor...

2013
Emmanuel Tonye

Ntsama Eloundou Pascal , Pierre Ele *2 Serfebé Zoua Dieudonné , Emmanuel Tonye *4 # Electronics Laboratory, Physics Department, University of Ngaoundéré Faculty of Science, PO Box 454, Ngaoundéré, Cameroon 1 [email protected] 3 [email protected] * ENSP, University of Yaoundé I, Cameroon 2 [email protected] 4 [email protected] Abstract—In this paper, we are conducting an evaluation the com...

2012
Nizam Uddin Ahamed Kenneth Sundaraj Badlishah Ahmad

Analysis of Electromyography (EMG) signals generated by individuals is part of human musculoskeletal system research and signals are always influenced by the electrode placement in the muscle. This characteristic is also obvious at Biceps Brachii (BB) muscles during the movement of elbow at different angles. The purpose of this study was to monitor and determine the BB muscle function in 3 cond...

2012
Valery I. Rupasov Mikhail A. Lebedev Joseph S. Erlichman Stephen L. Lee James C. Leiter Michael Linderman

To elucidate the cortical control of handwriting, we examined time-dependent statistical and correlational properties of simultaneously recorded 64-channel electroencephalograms (EEGs) and electromyograms (EMGs) of intrinsic hand muscles. We introduced a statistical method, which offered advantages compared to conventional coherence methods. In contrast to coherence methods, which operate in th...

Journal: :journal of medical signals and sensors 0
akbar pashaei mohammad reza yazdchi hamid reza marateb

in current years, the application of biopotential signals has received a lot of attention in literature. one of these signals is an electromyogram (emg) generated by active muscles. surface emg (semg) signal is recorded over the skin, as the representative of the muscle activity. since its amplitude can be as low as 50 µv, it is sensitive to undesirable noise signals such as power‑line interfer...

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