The extraction of neural strategies from the surface EMG: an update

D Farina, R Merletti, RM Enoka - Journal of applied …, 2014 - journals.physiology.org
A surface EMG signal represents the linear transformation of motor neuron discharge times
by the compound action potentials of the innervated muscle fibers and is often used as a …

Multi-channel intramuscular and surface EMG decomposition by convolutive blind source separation

F Negro, S Muceli, AM Castronovo… - Journal of neural …, 2016 - iopscience.iop.org
Objective. The study of motor unit behavior has been classically performed by selective
recording systems of muscle electrical activity (EMG signals) and decomposition algorithms …

Robust and accurate decoding of motoneuron behaviour and prediction of the resulting force output

CK Thompson, F Negro, MD Johnson… - The Journal of …, 2018 - Wiley Online Library
Key points The spinal alpha motoneuron is the only cell in the human CNS whose discharge
can be routinely recorded in humans. We have reengineered motor unit collection and …

Adaptive real-time identification of motor unit discharges from non-stationary high-density surface electromyographic signals

C Chen, S Ma, X Sheng, D Farina… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Objective: Estimation of the discharge pattern of motor units by electromyography (EMG)
decomposition has been applied for neurophysiologic investigations, clinical diagnosis, and …

Simultaneous and proportional control of wrist and hand movements by decoding motor unit discharges in real time

C Chen, Y Yu, X Sheng, D Farina… - Journal of Neural …, 2021 - iopscience.iop.org
Objective. Surface electromyography (EMG) decomposition techniques can be used to
establish human-machine interfacing (HMI), but most investigations are implemented offline …

Hand gesture recognition based on motor unit spike trains decoded from high-density electromyography

C Chen, Y Yu, S Ma, X Sheng, C Lin, D Farina… - … signal processing and …, 2020 - Elsevier
Objective Methods for surface electromyographic (EMG) signal decomposition have been
developed in the past decade, to extract neural information transferred from the spinal cord …

Decomposition of surface EMG signals from cyclic dynamic contractions

CJ De Luca, SS Chang, SH Roy… - Journal of …, 2015 - journals.physiology.org
Over the past 3 decades, various algorithms used to decompose the electromyographic
(EMG) signal into its constituent motor unit action potentials (MUAPs) have been reported …

Non-invasive analysis of motor unit activation during simultaneous and continuous wrist movements

C Chen, Y Yu, X Sheng, X Zhu - IEEE Journal of Biomedical …, 2021 - ieeexplore.ieee.org
Surface electromyography (EMG) signals have shown promising applications in human-
machine interfacing (HMI) systems such as orthotics, prosthetics, and exoskeletons …

Prediction of finger kinematics from discharge timings of motor units: Implications for intuitive control of myoelectric prostheses

C Chen, G Chai, WC Guo, X Sheng… - Journal of neural …, 2019 - iopscience.iop.org
Objective. The aim of the study was to characterize the accuracy in the identification of motor
unit discharges during natural movements using high-density electromyography (EMG) …

Changes in motor unit behavior following isometric fatigue of the first dorsal interosseous muscle

L McManus, X Hu, WZ Rymer… - Journal of …, 2015 - journals.physiology.org
The neuromuscular strategies employed to compensate for fatigue-induced muscle force
deficits are not clearly understood. This study utilizes surface electromyography (sEMG) …