ArticleeNeuro2023
Larger and Denser: An Optimal Design for Surface Grids of EMG Electrodes to Identify Greater and More Representative Samples of Motor Units.
Article in eNeuro, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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Who cites it
15 citing papers in PubMed, 39 citations in OpenAlex.
- Probabilistic inference of homonymous and heteronymous recurrent inhibition in human muscles from large-scale motor neuron recordings.Science advances · 2026Article
- Differential changes in the effective neural drive following new motor skill acquisition between vastus lateralis and medialis.European journal of applied physiology · 2026Article
- Regenerative peripheral nerve interfaces (RPNIs) and implanted electrodes improve online control of prostheses for hand and wristJournal of neural engineering · 2026Article
- The modulation of human motoneuron discharge patterns with contraction force in resistance- and endurance-trained individuals.Journal of applied physiology (Bethesda, Md. : 1985) · 2026Article
- Greater muscle electrode distance and fat mass affect motor units identification from high-density surface EMG in the vastus lateralis muscle.Scientific reports · 2025Article
- Non-homogeneous distribution of inhibitory inputs among motor units in response to nociceptive stimulation at moderate contraction intensity.The Journal of physiology · 2025Article
- A multi-label deep residual shrinkage network for high-density surface electromyography decomposition in real-time.Journal of neuroengineering and rehabilitation · 2025Article
- Matching dynamically varying forces with multi-motor-unit muscle models: a simulation study.Royal Society open science · 2025Article
- Flexible control of motor units: is the multidimensionality of motor unit manifolds a sufficient condition?The Journal of physiology · 2025Article
- Intrinsic properties of spinal motoneurons degrade ankle torque control in humans.The Journal of physiology · 2025Article
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- Intrinsic motoneuron properties in typical human development.The Journal of physiology · 2024Article
- Motoneuron-driven computational muscle modelling with motor unit resolution and subject-specific musculoskeletal anatomy.PLoS computational biology · 2023Article
- Wearable sensing for understanding and influencing human movement in ecological contexts.Current opinion in biomedical engineering · 2023Article
Corrections and comments
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Authors and funding
7 authors at 2 institutions in 2 countries.
Funding
Abstract
The spinal motor neurons are the only neural cells whose individual activity can be noninvasively identified. This is usually done using grids of surface electromyographic (EMG) electrodes and source separation algorithms; an approach called EMG decomposition. In this study, we combined computational and experimental analyses to assess how the design parameters of grids of electrodes influence the number and the properties of the identified motor units. We first computed the percentage of motor units that could be theoretically discriminated within a pool of 200 simulated motor units when decomposing EMG signals recorded with grids of various sizes and interelectrode distances (IEDs). Increasing the density, the number of electrodes, and the size of the grids, increased the number of motor units that our decomposition algorithm could theoretically discriminate, i.e., up to 83.5% of the simulated pool (range across conditions: 30.5-83.5%). We then identified motor units from experimental EMG signals recorded in six participants with grids of various sizes (range: 2-36 cm
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.