ArticleSensors (Basel, Switzerland)2020
A Virtual Reality Muscle-Computer Interface for Neurorehabilitation in Chronic Stroke: A Pilot Study.
Article in Sensors (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
What it found
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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.
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Who cites it
17 citing papers in PubMed, 35 citations in OpenAlex.
- Tai Ji for stroke rehabilitation: a randomized controlled trial on improving upper limb function and cortico-muscular coupling in stroke patients.Journal of neuroengineering and rehabilitation · 2026Trial
- A Deep Learning-Based EIT System for Robust Gesture Recognition Under Confounding Factors.Biosensors · 2026Article
- Active Rehabilitation Technologies for Post-Stroke Patients.Biosensors · 2025Review
- Virtual Reality-Based Rehabilitation Therapy.Physiological research · 2025Review
- Physics-Constrained Deep Learning for Security Ink Colorimetry with Attention-Based Spectral Sensing.Sensors (Basel, Switzerland) · 2024Article
- Immersive VR for upper-extremity rehabilitation in patients with neurological disorders: a scoping review.Journal of neuroengineering and rehabilitation · 2024Article
- Improvements in motor control are associated with improved quality of life following an at-home muscle biofeedback program for chronic stroke.Frontiers in human neuroscience · 2024Article
- Article
- Acceptability of a Telerehabilitation Biofeedback System Among Stroke Survivors: A Qualitative Analysis.OTJR : occupation, participation and health · 2023Article
- Virtual Reality Applications in Neurorehabilitation: Current Panorama and Challenges.Brain sciences · 2023Article
- Task-dependent alteration of beta-band intermuscular coherence is associated with ipsilateral corticospinal tract excitability.Frontiers in sports and active living · 2023Article
- Muscle Co-Contraction Detection in the Time-Frequency Domain.Sensors (Basel, Switzerland) · 2022Article
- Functional and neuromuscular changes inducedFrontiers in neuroergonomics · 2022Article
- A Real-Time Wearable Physiological Monitoring System for Home-Based Healthcare Applications.Sensors (Basel, Switzerland) · 2021Article
- Conducting a VR Clinical Trial in the Era of COVID-19.Frontiers in virtual reality · 2021Article
- Development of a Low-Cost, Modular Muscle-Computer Interface for At-Home Telerehabilitation for Chronic Stroke.Sensors (Basel, Switzerland) · 2021Article
- Virtual Reality as a Portable Alternative to Chromotherapy Rooms for Stress Relief: A Preliminary Study.Sensors (Basel, Switzerland) · 2020Article
Corrections and comments
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Authors and funding
6 authors at 1 institution in 1 country.
Funding
Abstract
Severe impairment of limb movement after stroke can be challenging to address in the chronic stage of stroke (e.g., greater than 6 months post stroke). Recent evidence suggests that physical therapy can still promote meaningful recovery after this stage, but the required high amount of therapy is difficult to deliver within the scope of standard clinical practice. Digital gaming technologies are now being combined with brain-computer interfaces to motivate engaging and frequent exercise and promote neural recovery. However, the complexity and expense of acquiring brain signals has held back widespread utilization of these rehabilitation systems. Furthermore, for people that have residual muscle activity, electromyography (EMG) might be a simpler and equally effective alternative. In this pilot study, we evaluate the feasibility and efficacy of an EMG-based variant of our REINVENT virtual reality (VR) neurofeedback rehabilitation system to increase volitional muscle activity while reducing unintended co-contractions. We recruited four participants in the chronic stage of stroke recovery, all with severely restricted active wrist movement. They completed seven 1-hour training sessions during which our head-mounted VR system reinforced activation of the wrist extensor muscles without flexor activation. Before and after training, participants underwent a battery of clinical and neuromuscular assessments. We found that training improved scores on standardized clinical assessments, equivalent to those previously reported for brain-computer interfaces. Additionally, training may have induced changes in corticospinal communication, as indexed by an increase in 12-30 Hz corticomuscular coherence and by an improved ability to maintain a constant level of wrist muscle activity. Our data support the feasibility of using muscle-computer interfaces in severe chronic stroke, as well as their potential to promote functional recovery and trigger neural plasticity.
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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.