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Comparison of EMG, Video, and Actigraphy Signals for Detecting Motor Activity in REM Sleep Behavior Disorder. [PDF]

Diagnostics (Basel)
Ryu KH, Ricciardiello Mejia G, Marwaha S, Brink-Kjaer A, During EH.   +4 more
europepmc   +1 more source

Neuromuscular electrical stimulation enhances neuromuscular activation and motor performance in badminton players during forward lunge footwork. [PDF]

Front Physiol
Li X, Sheng Y.
europepmc   +1 more source

Surface EMG in China: a report on the 2023 surface EMG symposium

Frontiers in Rehabilitation Sciences
openaire   +3 more sources

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A review on EMG-based motor intention prediction of continuous human upper limb motion for human-robot collaboration

Biomedical Signal Processing and Control, 2019
Electromyography (EMG) signal is one of the widely used biological signals for human motor intention prediction, which is an essential element in human-robot collaboration systems.
Luzheng Bi, Cuntai Guan
exaly   +2 more sources

Early corticospinal tract damage in prodromal SCA2 revealed by EEG-EMG and EMG-EMG coherence

Clinical Neurophysiology, 2017
Clinical data suggest early involvement of the corticospinal tract (CST) in spinocerebellar ataxia type 2 (SCA2). Here we tested if early CST degeneration can be detected in prodromal SCA2 mutation carriers by electrophysiological markers of CST integrity.CST integrity was tested in 15 prodromal SCA2 mutation carriers, 19 SCA2 patients and 25 age ...
Georg Auburger, Ulf Ziemann, Paolo Belardinelli   +2 more
exaly   +4 more sources

Use of single fiber EMG and macro EMG in study of reinnervation

Muscle and Nerve, 1990
AbstractThe use of single iber EMG and macro EMG in studies of reinnervation is discussed. SFEMG gives information about changes in the topography of the motor unit and in function of transmission in terminal nerve, motor endplate and muscle fiber. Dynamics of reinnervation may be studied with this technique.
exaly   +3 more sources

Deep Learning for EMG-based Human-Machine Interaction: A Review

IEEE/CAA Journal of Automatica Sinica, 2021
Electromyography (EMG) has already been broadly used in human-machine interaction (HMI) applications. Determining how to decode the information inside EMG signals robustly and accurately is a key problem for which we urgently need a solution.
Dezhen Xiong, Daohui Zhang, Xingang Zhao, Yiwen Zhao   +3 more
semanticscholar   +1 more source