[HTML][HTML] The accurate assessment of muscle excitation requires the detection of multiple surface electromyograms

TM Vieira, A Botter - Exercise and Sport Sciences Reviews, 2021 - journals.lww.com
• We propose that the probability of making either error can be minimized by using grids of
electrode to detect surface EMGs from multiple locations over a target muscle.• With grids of …

[HTML][HTML] Converging robotic technologies in targeted neural rehabilitation: a review of emerging solutions and challenges

K Nizamis, A Athanasiou, S Almpani, C Dimitrousis… - Sensors, 2021 - mdpi.com
Recent advances in the field of neural rehabilitation, facilitated through technological
innovation and improved neurophysiological knowledge of impaired motor control, have …

A wearable biosensing system with in-sensor adaptive machine learning for hand gesture recognition

A Moin, A Zhou, A Rahimi, A Menon, S Benatti… - Nature …, 2021 - nature.com
Wearable devices that monitor muscle activity based on surface electromyography could be
of use in the development of hand gesture recognition applications. Such devices typically …

[HTML][HTML] Surface EMG in clinical assessment and neurorehabilitation: barriers limiting its use

I Campanini, C Disselhorst-Klug, WZ Rymer… - Frontiers in …, 2020 - frontiersin.org
This article addresses the potential clinical value of techniques based on surface
electromyography (sEMG) in rehabilitation medicine with specific focus on …

[HTML][HTML] Stretchable array electromyography sensor with graph neural network for static and dynamic gestures recognition system

H Lee, S Lee, J Kim, H Jung, KJ Yoon, S Gandla… - npj Flexible …, 2023 - nature.com
With advances in artificial intelligence (AI)-based algorithms, gesture recognition accuracy
from sEMG signals has continued to increase. Spatiotemporal multichannel-sEMG signals …

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 …

Design of a flexible wearable smart sEMG recorder integrated gradient boosting decision tree based hand gesture recognition

W Song, Q Han, Z Lin, N Yan, D Luo… - IEEE transactions on …, 2019 - ieeexplore.ieee.org
This paper proposed a wearable smart sEMG recorder integrated gradient boosting decision
tree (GBDT) based hand gesture recognition. A hydrogel-silica gel based flexible surface …

[HTML][HTML] Surface electromyography applied to gait analysis: How to improve its impact in clinics?

V Agostini, M Ghislieri, S Rosati, G Balestra… - Frontiers in …, 2020 - frontiersin.org
Surface electromyography (sEMG) is the main non-invasive tool used to record the electrical
activity of muscles during dynamic tasks. In clinical gait analysis, a number of techniques …

Enhancing IoT security via cancelable HD-sEMG-based biometric authentication password, encoded by gesture

X Jiang, X Liu, J Fan, X Ye, C Dai… - IEEE Internet of …, 2021 - ieeexplore.ieee.org
Enhancing information security via reliable user authentication in wireless body area
network (WBAN)-based Internet-of-Things (IoT) applications has attracted increasing …

[HTML][HTML] Physical and electrophysiological motor unit characteristics are revealed with simultaneous high-density electromyography and ultrafast ultrasound imaging

M Carbonaro, KM Meiburger, S Seoni… - Scientific Reports, 2022 - nature.com
Electromyography and ultrasonography provide complementary information about
electrophysiological and physical (ie anatomical and mechanical) muscle properties. In this …