The electromyographic signal, which represents the electrical activity in muscles, can be sampled by monitoring techniques of muscular membranes. The analysis of this signal is important for academic studies, development ...

In this work, we present shown the development of an algorithm, capable to segment the electromyographic signal in order to refine muscle fatigue analysis. The method consists of the signal pre-processing using a segmentation ...

This paper focuses on the processing and analysis of electromyographic signals. The EMGLab software, used for the paper’s development, has an automatic signal decomposition algorithm known as The Montreal Decomposition ...

Background: Stroke presents as the primary clinical manifestation the hemiplegia or hemiparesis. In addition, there is respiratory muscle strength decreasing (expressed as maximal inspiratory and expiratory pressure - MIP ...

Electromyography (EMG) is an important area of studies in human physiology and health, encompassing the electrical current generated throughout the human body, from the cell membrane to muscle groups. A given electrical ...

The project details the study done with children with spastic infantile cerebral palsy (ICP). In this project was valued movement in the cervical area by means of the analysis of the electromyographic signals, where the ...

Electromyography is a technique that consists of the development, capture and study of electromyographic (EMG) signals from muscle activity. Within electromyography, a very important step refers to the features extraction, ...