This study aims to quantitatively clarify the physiological features in rhythmically coordinated jaw and neck muscle EMG activities while chewing gum using EMG-EMG transfer function and EMG-EMG coherence function analyses in 20 healthy subjects. The chewing side masseter muscle EMG signal was used as the reference signal, while the other jaw (non-chewing side masseter muscle, bilateral anterior...

Zebrafish models have recently been highlighted as a valuable tool in studying the molecular basis of neuromuscular diseases and developing new pharmacological treatments. Needle electromyography (EMG) is needed not only for validating transgenic zebrafish models with muscular dystrophies (MD), but also for assessing the efficacy of therapeutics. However, performing needle EMG on larval zebrafi...

Surface electromyography (EMG) is a widely used, straight-forward, technique which allows to investigate patterns of neuromuscular activation. In contrast to the relative simplicity of the recording technique, the analysis of the derived electric signals may be rather sophisticated. The last decade, in particular, has been characterized by the development of a several quantitative approaches to...

The effects of changing the length of the cat soleus muscle on electromyographic (EMG) signals, muscle force and the corresponding EMG-force relationship were assessed using distributed stimulation of ten ventral root filaments and irregular interpulse intervals. EMG-force relationships were first determined for four muscle lengths using a protocol of simultaneous addition and rate modulation o...

Background: The time and frequency features of motor unit action potentials (MUAPs) extracted from electromyographic (EMG) signal provide discriminative information for diagnosis and treatment of neuromuscular disorders. However, the results of conventional automatic diagnosis methods using MUAP features is not convincing yet.Objective: The main goal in designing a MUAP characterization system ...

Electromyogram (EMG) signals cannot be forged and have the advantage of being able to change registered data as they are characterized by waveform, which varies depending on gesture. In this paper, a two-step biometrics method was proposed using EMG based convolutional neural network–long short-term memory (CNN-LSTM) network. After preprocessing signals, time domain features LSTM network were u...

BACKGROUND/AIMS This work focuses on recording, processing and interpretation of multichannel surface EMG detected from the external anal sphincter muscle. The aim is to describe the information that can be extracted from signals recorded with such a technique. METHODS The recording of many signals from different locations on a muscle allows the extraction of additional information on muscle ...

The currently accepted description of the pattern of electromyographic (EMG) activity in the pharyngeal swallow is that reported by Doty and Bosma in 1956; however, those authors describe high levels of intramuscle and of interindividual EMG variation. We reinvestigated this pattern, testing two hypotheses concerning EMG variation: 1) that it could be reduced with modern methodology and 2) that...

Electromyographic (EMG) signals detected over the skin are mixtures of signals generated by many active muscles due to the phenomena related to volume conduction. Separation of the sources is necessary when single muscle activity has to be detected. Signals generated by different muscles may be considered uncorrelated but have a largely overlapping bandwidth. When many muscles are active, no a ...

Cotton fabric with the addition of silver nanoparticles (AgNPs) and polyaniline (PANI) was developed as a flexible electrode to measure muscle biopotential signals using Electromyography (EMG) in this study. AgNPs are synthesized two reduci