In this paper we present our recent study on the impact of speaking mode variabilities on speech recognition by surface electromyography (EMG). Surface electromyography captures the electric potentials of the human articulatory muscles, which enables a user to communicate naturally without making any audible sound. Our previous experiments have shown that the EMG signal varies greatly between d...

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...

Multichannel surface electromyograms (EMGs) were used to examine the sensitivity of EMG-EMG coherence to infer changes in common oscillatory drive to hand muscles in young and older adults. Previous research has shown that measures of coherence calculated from different neurophysiological signals are influenced by the age of the subject, the visual feedback provided to the subject, and the task...

This paper reports on our recent research on surface electromyographic (EMG) speech synthesis: a direct conversion of the EMG signals of the articulatory muscle movements to the acoustic speech signal. In this work we introduce a unit selection approach which compares segments of the input EMG signal to a database of simultaneously recorded EMG/audio unit pairs and selects the best matching aud...

Amplitude and frequency content of the surface electromyographic (EMG) signal reflect central and peripheral modifications of the neuromuscular system. Classic surface EMG spectral variables applied to assess muscle functions are the centroid and median power spectral frequencies. More recently, nonlinear tools have been introduced to analyze the surface EMG; among them, the recurrence quantifi...

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...

This brief review examines some of the methods used to infer central control strategies from surface electromyogram (EMG) recordings. Among the many uses of the surface EMG in studying the neural control of movement, the review critically evaluates only some of the applications. The focus is on the relations between global features of the surface EMG and the underlying physiological processes. ...

TO THE EDITOR: There is much interest in the synchronization of neural discharge and its potential role in information coding within the nervous system. To assess oscillatory input to the muscle by means of corticospinal (EEG–EMG) coherence and intermuscular (EMG–EMG) coherence, it is common practice to rectify electromyographic (EMG) signals, although the rationale for rectification remains in...

UNLABELLED Removal of electrocardiographic (ECG) contamination of electromyographic (EMG) signals from torso muscles is often attempted by high-pass filtering. This study investigated the effects of the cut-off frequency used in this high-pass filtering technique on the resulting EMG signal. Surface EMGs were recorded on five subjects from the rectus abdominis, external oblique, and erector spi...