A review of the key technologies for sEMG-based human-robot interaction systems
K Li, J Zhang, L Wang, M Zhang, J Li, S Bao - … Signal Processing and …, 2020 - Elsevier
As physiological signals that are closely related to human motion, surface electromyography
(sEMG) signals have been widely used in human-robot interaction systems (HRISs). Some …
(sEMG) signals have been widely used in human-robot interaction systems (HRISs). Some …
Principles of motor unit physiology evolve with advances in technology
Movements are generated by the coordinated activation of motor units. Recent technological
advances have made it possible to identify the concurrent activity of several tens of motor …
advances have made it possible to identify the concurrent activity of several tens of motor …
Man/machine interface based on the discharge timings of spinal motor neurons after targeted muscle reinnervation
The intuitive control of upper-limb prostheses requires a man/machine interface that directly
exploits biological signals. Here, we define and experimentally test an offline man/machine …
exploits biological signals. Here, we define and experimentally test an offline man/machine …
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 …
A direct spinal cord–computer interface enables the control of the paralysed hand in spinal cord injury
Paralysis of the muscles controlling the hand dramatically limits the quality of life for
individuals living with spinal cord injury (SCI). Here, with a non-invasive neural interface, we …
individuals living with spinal cord injury (SCI). Here, with a non-invasive neural interface, we …
Associations between motor unit action potential parameters and surface EMG features
The surface interference EMG signal provides some information on the neural drive to
muscles. However, the association between neural drive to muscle and muscle activation …
muscles. However, the association between neural drive to muscle and muscle activation …
Deep learning for robust decomposition of high-density surface EMG signals
Blind source separation (BSS) algorithms, such as gradient convolution kernel
compensation (gCKC), can efficiently and accurately decompose high-density surface …
compensation (gCKC), can efficiently and accurately decompose high-density surface …
Robust and accurate decoding of motoneuron behaviour and prediction of the resulting force output
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 …
can be routinely recorded in humans. We have reengineered motor unit collection and …
The forces generated by agonist muscles during isometric contractions arise from motor unit synergies
A Del Vecchio, CM Germer, TM Kinfe… - Journal of …, 2023 - Soc Neuroscience
The purpose of our study was to identify the low-dimensional latent components, defined
hereafter as motor unit modes, underlying the discharge rates of the motor units in two knee …
hereafter as motor unit modes, underlying the discharge rates of the motor units in two knee …
Spinal motoneurons of the human newborn are highly synchronized during leg movements
A Del Vecchio, F Sylos-Labini, V Mondì, P Paolillo… - Science …, 2020 - science.org
Motoneurons of neonatal rodents show synchronous activity that modulates the
development of the neuromuscular system. However, the characteristics of the activity of …
development of the neuromuscular system. However, the characteristics of the activity of …