Myoelectric control is filled with potential to significantly change human–robot interaction
due to the ability to non-invasively measure human motion intent. However, current control …

Myoelectric control offers a direct interface between human intent and various robotic
applications through recorded muscle activity. Traditional control schemes realize this …

The probability density function (PDF) of the surface electromyogram (EMG) signals has
been modelled with Gaussian and Laplacian distribution functions. However, a general …

The probability density function (pdf) of an electromyography (EMG) signal provides useful
information for choosing an appropriate feature extraction technique. The pdf is influenced …

We propose a novel approach for surface electromyogram (sEMG) signal classification. This
approach utilizes higher order statistics of sEMG signal to classify four primitive motions, ie …

We describe a novel application of higher order statistics (HOS) for classifying surface
electromyogram (sEMG) signals. We have followed seven approaches to identify …

Surface electromyographic signals provide useful information about motion intentionality.
Therefore, they are a suitable reference signal for control purposes. A continuous …

In this paper, the multidimensional multiscale parser (MMP) is employed for encoding
electromyographic signals. The experiments were carried out with real signals acquired in …

The electromyographic (EMG) signals are extensively used on feature extraction methods
for movement classification purposes. High-order statistics (HOS) is being employed …

Accurate and dependable picking of the first arrival time for microseismic data is an
important part in microseismic monitoring, which directly affects analysis results of post …