ArticleJournal of neural engineering2019
Muscle synergies for predicting non-isometric complex hand function for commanding FES neuroprosthetic hand systems.
Article in Journal of neural engineering, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
5 citing papers in PubMed, 19 citations in OpenAlex.
- Estimation of elbow flexion torque from anthropometric and NMES MMG variables using random forest regression.Scientific reports · 2025Article
- Electro-tactile modulation of muscle activation and intermuscular coordination in the human upper extremity.Scientific reports · 2025Article
- Comparative Study of sEMG Feature Evaluation Methods Based on the Hand Gesture Classification Performance.Sensors (Basel, Switzerland) · 2024Article
- Restoration of complex movement in the paralyzed upper limb.Journal of neural engineering · 2022Article
- Whole-Body Adaptive Functional Electrical Stimulation Kinesitherapy Can Promote the Restoring of Physiological Muscle Synergies for Neurological Patients.Sensors (Basel, Switzerland) · 2022Article
Corrections and comments
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Authors and funding
2 authors at 1 institution in 1 country.
Funding
Abstract
objectiveMyoelectric controlled neuroprostheses can restore hand function to mid-cervical level (C5/C6) paralyzed individuals through voluntary control. However restored functionality is limited due to the small number of available voluntary electromyographic (EMG) signals after paralysis. The purpose of this study was to determine whether dynamic hand function could be reduced to as few as three degrees of freedom using the time-invariant muscle synergy model thereby showing the feasibility of synergy-based neuroprosthetic control. APPROACH: Task cross-validated, time-invariant synergies were derived from static hand postures and from dynamic functional task data collected from five able-bodied participants. The time-invariant synergies were extracted from EMG data in task cross-validation using non-negative matrix factorization. MAIN
resultsThree functional synergies yielded significantly higher performance than chance (p < 0.01) with 66.0% ± 4.9% variance accounted for (VAF) compared to 42.5% ± 4.4% VAF. SIGNIFICANCE: The results of this study, along with other studies showing continuous 3D EMG control, show the feasibility of a possible synergy-based controller for hand neuroprostheses.
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Registered trials
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.