Tutorial: Analysis of motor unit discharge characteristics from high-density surface EMG signals

A Del Vecchio, A Holobar, D Falla, F Felici… - Journal of …, 2020 - Elsevier
Recent work demonstrated that it is possible to identify motor unit discharge times from high-
density surface EMG (HDEMG) decomposition. Since then, the number of studies that use …

Gesture recognition using surface electromyography and deep learning for prostheses hand: state-of-the-art, challenges, and future

W Li, P Shi, H Yu - Frontiers in neuroscience, 2021 - frontiersin.org
Amputation of the upper limb brings heavy burden to amputees, reduces their quality of life,
and limits their performance in activities of daily life. The realization of natural control for …

2022 roadmap on neuromorphic computing and engineering

DV Christensen, R Dittmann… - Neuromorphic …, 2022 - iopscience.iop.org
Modern computation based on von Neumann architecture is now a mature cutting-edge
science. In the von Neumann architecture, processing and memory units are implemented …

The increase in muscle force after 4 weeks of strength training is mediated by adaptations in motor unit recruitment and rate coding

A Del Vecchio, A Casolo, F Negro… - The Journal of …, 2019 - Wiley Online Library
Key points Previous studies have indicated that several weeks of strength training is
sufficient to elicit significant adaptations in the neural drive sent to the muscles. There are …

You are as fast as your motor neurons: speed of recruitment and maximal discharge of motor neurons determine the maximal rate of force development in humans

A Del Vecchio, F Negro, A Holobar… - The Journal of …, 2019 - Wiley Online Library
Key points We propose and validate a method for accurately identifying the activity of
populations of motor neurons during contractions at maximal rate of force development in …

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 …

The extraction of neural information from the surface EMG for the control of upper-limb prostheses: emerging avenues and challenges

D Farina, N Jiang, H Rehbaum… - … on Neural Systems …, 2014 - ieeexplore.ieee.org
Despite not recording directly from neural cells, the surface electromyogram (EMG) signal
contains information on the neural drive to muscles, ie, the spike trains of motor neurons …

Active upper limb prostheses: A review on current state and upcoming breakthroughs

A Marinelli, N Boccardo, F Tessari… - Progress in …, 2023 - iopscience.iop.org
The journey of a prosthetic user is characterized by the opportunities and the limitations of a
device that should enable activities of daily living (ADL). In particular, experiencing a bionic …

Blind identification of the spinal cord output in humans with high-density electrode arrays implanted in muscles

S Muceli, W Poppendieck, A Holobar, S Gandevia… - Science …, 2022 - science.org
Invasive electromyography opened a new window to explore motoneuron behavior in vivo.
However, the technique is limited by the small fraction of active motoneurons that can be …

Transformer-based hand gesture recognition from instantaneous to fused neural decomposition of high-density EMG signals

M Montazerin, E Rahimian, F Naderkhani… - Scientific reports, 2023 - nature.com
Designing efficient and labor-saving prosthetic hands requires powerful hand gesture
recognition algorithms that can achieve high accuracy with limited complexity and latency. In …