The present paper describes the influence of cross talk from the abdominal and intercostal muscles on the canine diaphragm electromyogram (EMG). The diaphragm EMG was recorded with bipolar surface electrodes placed on the costal portion of the diaphragm (abdominal side), aligned in the fiber direction, and positioned in a region with a relatively low density of motor end plates. The results ind...

Introduction The surface Electromyography (EMG) signal detected during a voluntary isometric muscle contraction is a random, non-stationary signal. It is well known that during a sustained contraction the EMG signal becomes progressively ‘slower’. This is a manifestation of muscle fatigue and can be quantified by monitoring specific variables, which indicate the change that occurs over time. Th...

The study proposes a method for supervised classification of multi-channel surface electromyographic signals with the aim of controlling myoelectric prostheses. The representation space is based on the discrete wavelet transform (DWT) of each recorded EMG signal using unconstrained parameterization of the mother wavelet. The classification is performed with a support vector machine (SVM) approa...

This paper details a strategy of discriminating finger Gestures using surface electromyography (EMG) signals, which could be applied to controlling the advanced multi-fingered myoelectric prosthesis for hand amputees. Finger motions discrimination is the key problem in this study. The EMG signal classification system was established based on the surface EMG signals from the subject’s forearm. F...

Surface electromyography is used in research, to estimate the activity of muscle, in prosthetic design, to provide a control signal, and in biofeedback, to provide subjects with a visual or auditory indication of muscle contraction. Unfortunately, successful applications are limited by the variability in the signal and the consequent poor quality of estimates. I propose to use a nonlinear recur...

Sanger TD. Bayesian filtering of myoelectric signals. J Neurophysiol 97: 1839 –1845, 2007. First published December 20, 2006; doi:10.1152/jn.00936.2006. Surface electromyography is used in research, to estimate the activity of muscle, in prosthetic design, to provide a control signal, and in biofeedback, to provide subjects with a visual or auditory indication of muscle contraction. Unfortunate...

Surface electromyogram (EMG) detected by electrode arrays along the muscle fibre direction can be approximated by the sum of propagating and non propagating components. A technique to separate propagating and non propagating components in surface EMG signals is developed. The first step is an adaptive filter, which allows obtaining an estimation of the delay between signals detected at differen...

With the rapid development of mathematical tools related to research on human behavior, more and more new discoveries are appeared in domestic and foreign. Surface EMG is a complex biological electrical signals and carrying a large body of information. In this paper, we found that the electromyographic signal is controlled by the brain signals and superposition of limb muscle action potential s...

ABSTRACT Assessing the performance of basketball players is very important in implementation technical training programs. The application electromyography (EMG) still relatively small. evaluation athletes’ muscle state index by EMG can guide sports training. This study used surface to test and compare data, analyze discharge timing, contribution rate integral value turning movement, aiming expl...

Excessive muscle load and fatigue may lead to disorders of the musculoskeletal system [1, 2]. Load and fatigue of the musculoskeletal system can be assessed with usage of non-invasive surface electromyography (EMG) [3]. Studies indicate, that the EMG signal is affected not only by muscle force and fatigue, but also by subcutaneous layer [4, 5]. Fatty tissue layer between the electrode and the m...