The ever-increasing number of computing devices around us results in more and more
systems competing for our attention, making cognitive workload a crucial factor for the user …

Recent work demonstrated that it is possible to identify motor unit discharge times from high-
density surface EMG (HDEMG) decomposition. Since then, the number of studies that use …

The surface electromyography (sEMG)-based gesture recognition with deep learning
approach plays an increasingly important role in human-computer interaction. Existing deep …

Surface electromyography (sEMG) is a popular research tool in sport and rehabilitation
sciences. Common study designs include the comparison of sEMG amplitudes collected …

This tutorial is aimed to non-engineers using, or planning to use, surface electromyography
(sEMG) as an assessment tool in the prevention, monitoring and rehabilitation fields. Its first …

This article addresses the potential clinical value of techniques based on surface
electromyography (sEMG) in rehabilitation medicine with specific focus on …

Recently, there has been an evolution toward a science-supported medicine, which uses
replicable results from comprehensive studies to assist clinical decision-making. Reliable …

This tutorial is aimed primarily to non-engineers, using or planning to use surface
electromyography (sEMG) as an assessment tool for muscle evaluation in the prevention …

Recent decades have seen a move toward evidence-based medicine to inform the clinical
decision-making process with reproducible findings from high-quality research studies …

This paper presents a literature review on pattern recognition of electromyography (EMG)
signals and its applications. The EMG technology is introduced and the most relevant …