Background Electromyography (EMG) is a classical technique used to record electrical
activity associated with muscle contraction and is widely applied in Biomechanics …

The aim of this study is to present a package including standard software for the
electroencephalographic (EEG), electro-oculographic (EOG) and electromyographic (EMG) …

Accurate and computationally efficient means of classifying surface myoelectric signals has
been the subject of considerable research effort in recent years. The aim of this paper is to …

The use of surface versus intramuscular electrodes as well as the effect of electrode
targeting on pattern-recognition-based multifunctional prosthesis control was explored …

The authors have evaluated the ability of a time-delayed artificial neural network (TDANN) to
predict shoulder and elbow motions using only electromyographic (EMG) signals recorded …

The electrolarynx (EL) voice prosthesis is widely used, but suffers from the inconvenience of
requiring manual control. Therefore, a hands-free EL triggered by neck muscle …

The Generalized Likelihood Ratio (GLR) test is proposed for estimating the time instant of
muscle contraction onset via electromyographic (EMG) signal processing. In contrast to …

In this paper, a hybrid approach is presented for discriminating a few upper limb movements
by processing the electromyographic (EMG) signals from selected shoulder muscles …

The purpose of this study was to develop a real-time electromyogram (EMG) discrimination
system to provide control commands for man-machine interface applications. A host …

This study presents a novel method, characterized with simple implementation, to
automatically detect the onset time of muscle activity using surface electromyogram (EMG) …