ArticleFrontiers in neurorobotics2019
Development of an EMG-Controlled Knee Exoskeleton to Assist Home Rehabilitation in a Game Context.
Article in Frontiers in neurorobotics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.
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Who cites it
15 citing papers in PubMed, 1 synthesis or guideline pooled it, 75 citations in OpenAlex.
- What the Tech? The Management of Neurological Dysfunction Through the Use of Digital Technology.Advances in experimental medicine and biology · 2021Pooled it
- EMG-controlled knee orthosis lowers effort in sit-to-stand.Frontiers in robotics and AI · 2025Article
- Advances in active knee brace technology: A review of gait analysis, actuation, and control applications.Heliyon · 2024Article
- Development of a Real-Time Knee Extension Monitoring and Rehabilitation System: Range of Motion and Surface EMG Measurement and Evaluation.Healthcare (Basel, Switzerland) · 2022Article
- A Differentiable Dynamic Model for Musculoskeletal Simulation and Exoskeleton Control.Biosensors · 2022Article
- The Potential Application of Commercially Available Active Video Games to Cardiac Rehabilitation: Scoping Review.JMIR serious games · 2022Article
- Wearable super-resolution muscle-machine interfacing.Frontiers in neuroscience · 2022Review
- Biopotential Signal Monitoring Systems in Rehabilitation: A Review.Sensors (Basel, Switzerland) · 2021Review
- Biosignal-Based Human-Machine Interfaces for Assistance and Rehabilitation: A Survey.Sensors (Basel, Switzerland) · 2021Review
- Robust Torque Predictions From Electromyography Across Multiple Levels of Active Exoskeleton Assistance Despite Non-linear Reorganization of Locomotor Output.Frontiers in neurorobotics · 2021Article
- Robotic Home-Based Rehabilitation Systems Design: From a Literature Review to a Conceptual Framework for Community-Based Remote Therapy During COVID-19 Pandemic.Frontiers in robotics and AI · 2021Article
- Review: How Can Intelligent Robots and Smart Mechatronic Modules Facilitate Remote Assessment, Assistance, and Rehabilitation for Isolated Adults With Neuro-Musculoskeletal Conditions?Frontiers in robotics and AI · 2021Review
- Characterization and wearability evaluation of a fully portable wrist exoskeleton for unsupervised training after stroke.Journal of neuroengineering and rehabilitation · 2020Article
- Walking Strategies and Performance Evaluation for Human-Exoskeleton Systems under Admittance Control.Sensors (Basel, Switzerland) · 2020Article
- Connected Elbow Exoskeleton System for Rehabilitation Training Based on Virtual Reality and Context-Aware.Sensors (Basel, Switzerland) · 2020Article
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Authors and funding
6 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
As a leading cause of loss of functional movement, stroke often makes it difficult for patients to walk. Interventions to aid motor recovery in stroke patients should be carried out as a matter of urgency. However, muscle activity in the knee is usually too weak to generate overt movements, which poses a challenge for early post-stroke rehabilitation training. Although electromyography (EMG)-controlled exoskeletons have the potential to solve this problem, most existing robotic devices in rehabilitation centers are expensive, technologically complex, and allow only low training intensity. To address these problems, we have developed an EMG-controlled knee exoskeleton for use at home to assist stroke patients in their rehabilitation. EMG signals of the subject are acquired by an easy-to-don EMG sensor and then processed by a Kalman filter to control the exoskeleton autonomously. A newly-designed game is introduced to improve rehabilitation by encouraging patients' involvement in the training process. Six healthy subjects took part in an initial test of this new training tool. The test showed that subjects could use their EMG signals to control the exoskeleton to assist them in playing the game. Subjects found the rehabilitation process interesting, and they improved their control performance through 20-block training, with game scores increasing from 41.3 ± 15.19 to 78.5 ± 25.2. The setup process was simplified compared to traditional studies and took only 72 s according to test on one healthy subject. The time lag of EMG signal processing, which is an important aspect for real-time control, was significantly reduced to about 64 ms by employing a Kalman filter, while the delay caused by the exoskeleton was about 110 ms. This easy-to-use rehabilitation tool has a greatly simplified training process and allows patients to undergo rehabilitation in a home environment without the need for a therapist to be present. It has the potential to improve the intensity of rehabilitation and the outcomes for stroke patients in the initial phase of rehabilitation.
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