Tutorial: Analysis of motor unit discharge characteristics from high-density surface EMG signals
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 …
density surface EMG (HDEMG) decomposition. Since then, the number of studies that use …
[HTML][HTML] Tutorial. Surface EMG detection in space and time: Best practices
R Merletti, S Muceli - Journal of Electromyography and Kinesiology, 2019 - Elsevier
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 …
(sEMG) as an assessment tool in the prevention, monitoring and rehabilitation fields. Its first …
[HTML][HTML] Surface EMG in clinical assessment and neurorehabilitation: barriers limiting its use
This article addresses the potential clinical value of techniques based on surface
electromyography (sEMG) in rehabilitation medicine with specific focus on …
electromyography (sEMG) in rehabilitation medicine with specific focus on …
Tutorial. Surface EMG detection, conditioning and pre-processing: Best practices
R Merletti, GL Cerone - Journal of Electromyography and Kinesiology, 2020 - Elsevier
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 …
electromyography (sEMG) as an assessment tool for muscle evaluation in the prevention …
Gait analysis in neurological populations: Progression in the use of wearables
Gait assessment is an essential tool for clinical applications not only to diagnose different
neurological conditions but also to monitor disease progression as it contributes to the …
neurological conditions but also to monitor disease progression as it contributes to the …
[HTML][HTML] Analysis and biophysics of surface EMG for physiotherapists and kinesiologists: Toward a common language with rehabilitation engineers
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 …
decision-making process with reproducible findings from high-quality research studies …
[HTML][HTML] Electromyogram-based classification of hand and finger gestures using artificial neural networks
Electromyogram (EMG) signals have been increasingly used for hand and finger gesture
recognition. However, most studies have focused on the wrist and whole-hand gestures and …
recognition. However, most studies have focused on the wrist and whole-hand gestures and …
[HTML][HTML] Current state of digital signal processing in myoelectric interfaces and related applications
M Hakonen, H Piitulainen, A Visala - Biomedical Signal Processing and …, 2015 - Elsevier
This review discusses the critical issues and recommended practices from the perspective of
myoelectric interfaces. The major benefits and challenges of myoelectric interfaces are …
myoelectric interfaces. The major benefits and challenges of myoelectric interfaces are …
A passive exoskeleton reduces peak and mean EMG during symmetric and asymmetric lifting
The VT-Lowe's exoskeleton is a novel passive lift-assistive device designed to offload the
back muscles during repetitive lifting. In this study, the effect of the exoskeleton on …
back muscles during repetitive lifting. In this study, the effect of the exoskeleton on …
Tracking motor units longitudinally across experimental sessions with high‐density surface electromyography
Key points Classic motor unit (MU) recording and analysis methods do not allow the same
MUs to be tracked across different experimental sessions, and therefore, there is limited …
MUs to be tracked across different experimental sessions, and therefore, there is limited …