Trial reportNeurorehabilitation and neural repair2019
Myoelectric Computer Interface Training for Reducing Co-Activation and Enhancing Arm Movement in Chronic Stroke Survivors: A Randomized Trial.
Trial report in Neurorehabilitation and neural repair, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03579992 (Myoelectric Computer Interface to Reduce Muscle Co-activation After Stroke), which is not on this map. Cited by 29 papers, 2 of them syntheses that pooled it.
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.
The trial behind it
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.
Myoelectric Computer Interface to Reduce Muscle Co-activation After Stroke
Who cites it
29 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Upper Limb Stroke Rehabilitation Using Surface Electromyography: A Systematic Review and Meta-Analysis.Frontiers in human neuroscience · 2022Pooled it
- Serious games for upper limb rehabilitation after stroke: a meta-analysis.Journal of neuroengineering and rehabilitation · 2021Pooled it
- Myoelectric interface for neurorehabilitation conditioning to reduce abnormal leg co-activation after stroke: a pilot study.Journal of neuroengineering and rehabilitation · 2024Trial
- Myoelectric interface training enables targeted reduction in abnormal muscle co-activation.Journal of neuroengineering and rehabilitation · 2022Trial
- Wearable myoelectric interface enables high-dose, home-based training in severely impaired chronic stroke survivors.Annals of clinical and translational neurology · 2021Trial
- Spinal cord stimulation modulates post-synaptic inhibition to improve arm neuromotor control after chronic stroke.Cell reports. Medicine · 2026Article
- A Low-Cost, Accurate, and Easily-Worn E-Skin and IMU Hand Kinematic Measurement System.Sensors (Basel, Switzerland) · 2026Article
- Article
- EMG-Spectrogram-Empowered CNN Stroke-Classifier Model Development.Life (Basel, Switzerland) · 2026Article
- Self-Organizing Recruitment of Compensatory Cortical Areas Post-Stroke Can Maximize Residual Motor Performance.IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society · 2026Article
- EMG-guided human-machine interaction training develops new intermuscular coordination patterns in stroke: a pilot study.Journal of neuroengineering and rehabilitation · 2025Article
- Spinal cord stimulation modulates post-synaptic inhibition improving neuromotor control of arm movement in people with chronic hemiparesis post-stroke.medRxiv : the preprint server for health sciences · 2025Article
- Article
- Muscle-to-action mapping for intuitive training of muscle synergies in post-stroke upper-limb rehabilitation.Journal of neuroengineering and rehabilitation · 2025Article
- A novel approach to promote upper-limb motor recovery in stroke survivors using assistive myoelectric control and adaptive visual feedback in virtual reality.Frontiers in bioengineering and biotechnology · 2025Article
- Muscle synergies in upper limb stroke rehabilitation: a scoping review.European journal of physical and rehabilitation medicine · 2024Article
- Wavelet Coherence Analysis of Post-Stroke Intermuscular Coupling Modulated by Myoelectric-Controlled Interfaces.Bioengineering (Basel, Switzerland) · 2024Article
- A usability study on mobile EMG-guided wrist extension training in subacute stroke patients-MyoGuide.Journal of neuroengineering and rehabilitation · 2024Article
- Myoelectric control and virtual reality to enhance motor rehabilitation after stroke.Frontiers in bioengineering and biotechnology · 2024Article
- Myoelectric interface for neurorehabilitation conditioning to reduce abnormal leg co-activation after stroke: a pilot study.Research square · 2023Article
Corrections and comments
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Authors and funding
13 authors.
Funding
Abstract
backgroundAbnormal muscle co-activation contributes to impairment after stroke. We developed a myoelectric computer interface (MyoCI) training paradigm to reduce abnormal co-activation. MyoCI provides intuitive feedback about muscle activation patterns, enabling decoupling of these muscles.
objectiveTo investigate tolerability and effects of MyoCI training of 3 muscle pairs on arm motor recovery after stroke, including effects of training dose and isometric versus movement-based training.
methodsWe randomized chronic stroke survivors with moderate-to-severe arm impairment to 3 groups. Two groups tested different doses of isometric MyoCI (60 vs 90 minutes), and one group tested MyoCI without arm restraint (90 minutes), over 6 weeks. Primary outcome was arm impairment (Fugl-Meyer Assessment). Secondary outcomes included function, spasticity, and elbow range-of-motion at weeks 6 and 10.
resultsOver all 32 subjects, MyoCI training of 3 muscle pairs significantly reduced impairment (Fugl-Meyer Assessment) by 3.3 ± 0.6 and 3.1 ± 0.7 ( P < 10
conclusionsMyoCI is a well-tolerated, novel rehabilitation tool that enables stroke survivors to reduce abnormal co-activation. It may reduce impairment and spasticity and improve arm function, even in severely impaired patients.
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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.