ArticleIEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society2019
Development of an EMG-Controlled Serious Game for Rehabilitation.
Article in IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.
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The trial behind it
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Who cites it
14 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Application of Digital Games for Speech Therapy in Children: A Systematic Review of Features and Challenges.Journal of healthcare engineering · 2022Pooled it
- Synergy-based Functional Electrical Stimulation for gait rehabilitation in chronic stroke: a pilot study.Frontiers in rehabilitation sciences · 2026Trial
- EMG-guided human-machine interaction training develops new intermuscular coordination patterns in stroke: a pilot study.Journal of neuroengineering and rehabilitation · 2025Article
- An efficient surface electromyography-based gesture recognition algorithm based on multiscale fusion convolution and channel attention.Scientific reports · 2024Article
- Application of Muscle Synergies for Gait Rehabilitation After Stroke: Implications for Future Research.Neurology international · 2024Review
- Enhanced Hand Gesture Recognition with Surface Electromyogram and Machine Learning.Sensors (Basel, Switzerland) · 2024Article
- Developing new intermuscular coordination patterns through an electromyographic signal-guided training in the upper extremity.Journal of neuroengineering and rehabilitation · 2023Article
- Feasibility of virtual reality based training for optimising COVID-19 case handling in Uganda.BMC medical education · 2022Article
- The Potential Application of Commercially Available Active Video Games to Cardiac Rehabilitation: Scoping Review.JMIR serious games · 2022Article
- Multi-user motion recognition using sEMGFrontiers in neurorobotics · 2022Article
- Sensors for Context-Aware Smart Healthcare: A Security Perspective.Sensors (Basel, Switzerland) · 2021Review
- Gamification and Control of Nitinol Based Ankle Rehabilitation Robot.Biomimetics (Basel, Switzerland) · 2021Article
- Serious Gaming Technology in Upper Extremity Rehabilitation: Scoping Review.JMIR serious games · 2020Article
- Sensors and Systems for Physical Rehabilitation and Health Monitoring-A Review.Sensors (Basel, Switzerland) · 2020Review
Corrections and comments
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Authors and funding
8 authors.
Funding
Abstract
A majority of the seven million stroke survivors in the U.S. have hand impairments, adversely affecting performance of a variety of activities of daily living, because of the fundamental role of the hand in performing functional tasks. Disability in stroke survivors is largely attributable to damaged neuronal pathways, which result in inappropriate activation of muscles, a condition prevalent in distal upper extremity muscles following stroke. While conventional rehabilitation methods focus on the amplification of existing muscle activation, the effectiveness of therapy targeting the reorganization of pathological activation patterns is often unexplored. To encourage modulation of activation level and exploration of the activation workspace, we developed a novel platform for playing a serious game through electromyographic control. This system was evaluated by a group of neurologically intact subjects over multiple sessions held on different days. Subjects were assigned to one of two groups, training either with their non-dominant hand only (unilateral) or with both hands (bilateral). Both groups of subjects displayed improved performance in controlling the cursor with their non-dominant hand, with retention from one session to the next. The system holds promise for rehabilitation of control of muscle activation patterns.
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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.