Advances in surface EMG: recent progress in detection and processing techniques

R Merletti, M Aventaggiato, A Botter… - Critical Reviews™ in …, 2010 - dl.begellhouse.com
This article is the first section of a review work structured in three parts and concerning a)
advances in surface EMG detection and processing techniques, b) recent progress in …

[КНИГА][B] Atlas of muscle innervation zones: understanding surface electromyography and its applications

M Barbero, R Merletti, A Rainoldi - 2012 - books.google.com
Invasive electromyography is a well-established diagnostic tool that has been used for
decades by neurologists. Recently, new and alternative devices have increasingly become …

[PDF][PDF] Surface electromyography: Why, when and how to use it

MAC Garcia, TMM Vieira - Revista andaluza de medicina del deporte, 2011 - redalyc.org
Through the use of electromyography, insights have been gained into the understanding of
intentional and reactive motor behaviors. This technique posits the detection and analysis of …

Error performance and mutual information for IoNT interface system

Y Li, L Lin, W Guo, D Zhang… - IEEE Internet of Things …, 2022 - ieeexplore.ieee.org
Molecular communication and the Internet of Nanothings (IoNT) are emerging research
hotspots recently, which show great potential in biomedical applications inside the human …

Dynamical characteristics of surface EMG signals of hand grasps via recurrence plot

G Ouyang, X Zhu, Z Ju, H Liu - IEEE journal of biomedical and …, 2013 - ieeexplore.ieee.org
Recognizing human hand grasp movements through surface electromyogram (sEMG) is a
challenging task. In this paper, we investigated nonlinear measures based on recurrence …

Gas-permeable and stretchable on-skin electronics based on a gradient porous elastomer and self-assembled silver nanowires

B Chen, Z Qian, G Song, Z Zhuang, X Sun, S Ma… - Chemical Engineering …, 2023 - Elsevier
On-skin electronics offers a noninvasive method for continuous and stable signal monitoring,
which has played a significant role in healthcare and rehabilitation engineering. However …

A method for identification of mechanical response of motor units in skeletal muscle voluntary contractions using ultrafast ultrasound imaging—simulations and …

R Rohlén, E Stålberg, KH Stöverud, J Yu… - IEEE …, 2020 - ieeexplore.ieee.org
The central nervous system coordinates movement through forces generated by motor units
(MUs) in skeletal muscles. To analyze MUs function is essential in sports, rehabilitation …

EMG probability density function: a new way to look at EMG signal filling from single motor unit potential to full interference pattern

J Navallas, A Eciolaza, C Mariscal… - … on Neural Systems …, 2023 - ieeexplore.ieee.org
An analytical derivation of the EMG signal's amplitude probability density function (EMG
PDF) is presented and used to study how an EMG signal builds-up, or fills, as the degree of …

Wavelet and short-time Fourier transform comparison-based analysis of myoelectric signals

K Veer, R Agarwal - Journal of Applied Statistics, 2015 - Taylor & Francis
In this investigation, extracted features ofsignals have been analyzed for the recognition of
arm movements. Short-time Fourier transform and wavelet transform based on Euclidian …

Modelling intra-muscular contraction dynamics using in silico to in vivo domain translation

H Ali, J Umander, R Rohlén, O Röhrle… - Biomedical engineering …, 2022 - Springer
Background Advances in sports medicine, rehabilitation applications and diagnostics of
neuromuscular disorders are based on the analysis of skeletal muscle contractions …