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View article: Multidimensional motoneuron control using intramuscular microelectrode arrays in tetraplegic spinal cord injury
Multidimensional motoneuron control using intramuscular microelectrode arrays in tetraplegic spinal cord injury Open
Loss of hand function after spinal cord injury (SCI) significantly impairs independence and quality of life. Although residual muscle activity recorded on the skin can provide intuitive control signals, it is limited in SCI by low amplitud…
View article: Unlocking the full potential of high‐density surface EMG: novel non‐invasive high‐yield motor unit decomposition
Unlocking the full potential of high‐density surface EMG: novel non‐invasive high‐yield motor unit decomposition Open
The decomposition of high‐density surface electromyography (HD‐sEMG) signals into motor unit discharge patterns has become a powerful tool for investigating the neural control of movement, providing insights into motor neuron recruitment a…
View article: Motor Unit Sampling From Intramuscular Micro-Electrode Array Recordings
Motor Unit Sampling From Intramuscular Micro-Electrode Array Recordings Open
Recordings of electrical activity from muscles allow us to identify the activity of pools of spinal motor neurons that send the neural drive for muscle activation. Decoding motor unit and motor neuron activity from muscle recordings can be…
View article: Unlocking the Full Potential of High-Density Surface EMG: Novel Non-Invasive High-Yield Motor Unit Decomposition
Unlocking the Full Potential of High-Density Surface EMG: Novel Non-Invasive High-Yield Motor Unit Decomposition Open
The decomposition of high-density surface electromyography (HD-sEMG) signals into motor unit discharge patterns has become a powerful tool for investigating the neural control of movement, providing insights into motor neuron recruitment a…
View article: Intramuscular microelectrode arrays enable highly-accurate neural decoding of hand movements
Intramuscular microelectrode arrays enable highly-accurate neural decoding of hand movements Open
Decoding the activity of the nervous system is a critical challenge in neuroscience and neural interfacing. In this study, we present a neuromuscular recording system that enables large-scale sampling of muscle activity using microelectrod…
View article: A Particle Swarm Optimized Independence Estimator for Blind Source Separation of Neurophysiological Time Series
A Particle Swarm Optimized Independence Estimator for Blind Source Separation of Neurophysiological Time Series Open
The decomposition of neurophysiological recordings into their constituent neural sources is of major importance to a diverse range of neuroscientific fields and neuroengineering applications. The advent of high density electrode probes and…
View article: HarmonICA: Neural non-stationarity correction and source separation for motor neuron interfaces
HarmonICA: Neural non-stationarity correction and source separation for motor neuron interfaces Open
A major outstanding problem when interfacing with spinal motor neurons is how to accurately compensate for non-stationary effects in the signal during source separation routines, particularly when they cannot be estimated in advance. This …
View article: Design, Fabrication and Evaluation of a Stretchable High-Density Electromyography Array
Design, Fabrication and Evaluation of a Stretchable High-Density Electromyography Array Open
The adoption of high-density electrode systems for human–machine interfaces in real-life applications has been impeded by practical and technical challenges, including noise interference, motion artefacts and the lack of compact electrode …
View article: A Particle Swarm Optimised Independence Estimator for Blind Source Separation of Neurophysiological Time Series
A Particle Swarm Optimised Independence Estimator for Blind Source Separation of Neurophysiological Time Series Open
The decomposition of neurophysiological recordings into their constituent neural sources is of major importance to a diverse range of neuroscientific fields and neuroengineering applications. The advent of high density electrode probes and…
View article: A Particle Swarm Optimised Independence Estimator for Blind Source Separation of Neurophysiological Time Series
A Particle Swarm Optimised Independence Estimator for Blind Source Separation of Neurophysiological Time Series Open
The decomposition of neurophysiological recordings into their constituent neural sources is of major importance to a diverse range of neuroscientific fields and neuroengineering applications. The advent of high density electrode probes and…