This paper considers the application of Blind Source Separation (BSS) to electromyographic (EMG) data as an approach to isolating individual motor unit potentials (MUPs). BSS was applied both to needle EMG (nEMG) and surface EMG (sEMG), and experimental results were obtained that demonstrate the effectiveness of this approach. BSS is proposed as a technique to be incorporated into EMG methodolo...

Sjøgaard, Gisela, Bente R. Jensen, Alan R. Hargens, and Karen Søgaard. Intramuscular pressure and EMG relate during static contractions but dissociate with movement and fatigue. J Appl Physiol 96: 1522–1529, 2004. First published December 5, 2003; 10.1152/ japplphysiol.00687.2003.—Intramuscular pressure (IMP) and electromyography (EMG) mirror muscle force in the nonfatigued muscle during static...

Sensorimotor control dysfunction or dyskinesia is a hallmark of neuromuscular impairment in children with cerebral palsy (CP), and is often implicated in reaching and grasping deficiencies due to a neuromuscular imbalance between the triceps and biceps. To mitigate such muscle imbalances, an innovative electromyography (EMG)-virtual reality (VR) biofeedback system were designed to provide accur...

Background: Electromyography (EMG) signal processing and Muscle Onset Latency (MOL) are widely used in rehabilitation sciences and nerve conduction studies. The majority of existing software packages provided for estimating MOL via analyzing EMG signal are computerized, desktop based and not portable; therefore, experiments and signal analyzes using them should be completed locally. Moreover, a...

25 Rectification of surface electromyographic (EMG) recordings prior to their correlation 26 with other signals is a widely used form of preprocessing. Recently this practice has come into 27 question, elevating the subject of EMG rectification to a topic of much debate. Proponents for 28 rectifying suggest it accentuates the EMG spike timing information; whereas opponents indicate 29 it is unn...

Surface electromyography (EMG) responses to noninvasive nerve and brain stimulation are routinely used to provide insight into neural function in humans. However, this could lead to erroneous conclusions if evoked EMG responses contain significant contributions from neighboring muscles (i.e., due to "cross-talk"). We addressed this issue with a simple nerve stimulation method to provide quantit...

Electromyography (EMG) is the study of the skeletal muscle function and the contraction of the skeletal muscle result in the generation of action potential in the individual muscle fibers, it from get information in the diagnosis of neuromuscular disorders. Suitable removal of baseline fluctuation of EMG signals is very important issue when recoding EMG signals as it may be degrade quality and ...

The probability density function (PDF) of the surface electromyogram (EMG) signals has been modelled with Gaussian and Laplacian distribution functions. However, a general consensus upon the PDF of the EMG signals is yet to be reached, because not only are there several biological factors that can influence this distribution function, but also different analysis techniques can lead to contradic...

A new system is presented that enhances the interoperability between a video-oculographic (VOG) system for mouse movement control and an electromyographic (EMG) system for mouse click detection. The proposed VOG-EMG system combines gaze and muscle information to minimize the number of undesired clicks due to involuntary activations and environmental noise. We tested the system with 24 subjects,...