ArticleFrontiers in neuroscience2016
Compensation or Restoration: Closed-Loop Feedback of Movement Quality for Assisted Reach-to-Grasp Exercises with a Multi-Joint Arm Exoskeleton.
Article in Frontiers in neuroscience, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.
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Who cites it
20 citing papers in PubMed.
- Behavioral and neurophysiological effects of an intensified robot-assisted therapy in subacute stroke: a case control study.Journal of neuroengineering and rehabilitation · 2021Trial
- Experimental Evaluation of Kinematic Compatibility in Three Upper Limb Exoskeleton Configurations Using Interface Force and Torque.Biomimetics (Basel, Switzerland) · 2026Article
- Enhancing Human-Robot Compatibility in Shoulder Exoskeletons: Passive Joint Optimization of PPBiomimetics (Basel, Switzerland) · 2025Article
- Objectivizing Measures of Post-Stroke Hand Rehabilitation through Multi-Disciplinary Scales.Journal of clinical medicine · 2023Review
- Interaction of network and rehabilitation therapy parameters in defining recovery after stroke in a Bilateral Neural Network.Journal of neuroengineering and rehabilitation · 2022Article
- A Taxonomy for Augmented and Mixed Reality Applications to Support Physical Exercises in Medical Rehabilitation-A Literature Review.Healthcare (Basel, Switzerland) · 2022Review
- Editorial: How can wearable robotic and sensor technology advance neurorehabilitation?Frontiers in neurorobotics · 2022Article
- Clinical validation of kinematic assessments of post-stroke upper limb movements with a multi-joint arm exoskeleton.Journal of neuroengineering and rehabilitation · 2021Article
- Virtual Reality in the Neurosciences: Current Practice and Future Directions.Frontiers in surgery · 2021Review
- Long-term analyses of spastic muscle behavior in chronic poststroke patients after near-infrared low-level laser therapy (808 nm): a double-blinded placebo-controlled clinical trial.Lasers in medical science · 2020Article
- Analysis of Compensatory Movements Using a Supernumerary Robotic Hand for Upper Limb Assistance.Frontiers in robotics and AI · 2020Article
- Brain-Machine Neurofeedback: Robotics or Electrical Stimulation?Frontiers in bioengineering and biotechnology · 2020Article
- Inertial-Robotic Motion Tracking in End-Effector-Based Rehabilitation Robots.Frontiers in robotics and AI · 2020Article
- Proprioceptive Feedback Facilitates Motor Imagery-Related Operant Learning of Sensorimotor β-Band Modulation.Frontiers in neuroscience · 2017Article
- Assessment of Motor Control during Three-Dimensional Movements Tracking with Position-Varying Gravity Compensation.Frontiers in neuroscience · 2017Article
- Plasticity of premotor cortico-muscular coherence in severely impaired stroke patients with hand paralysis.NeuroImage. Clinical · 2017Article
- Closed-Loop Neuroprosthesis for Reach-to-Grasp Assistance: Combining Adaptive Multi-channel Neuromuscular Stimulation with a Multi-joint Arm Exoskeleton.Frontiers in neuroscience · 2016Article
- Closed-Loop Task Difficulty Adaptation during Virtual Reality Reach-to-Grasp Training Assisted with an Exoskeleton for Stroke Rehabilitation.Frontiers in neuroscience · 2016Article
- What Turns Assistive into Restorative Brain-Machine Interfaces?Frontiers in neuroscience · 2016Article
- Hybrid Neuroprosthesis for the Upper Limb: Combining Brain-Controlled Neuromuscular Stimulation with a Multi-Joint Arm Exoskeleton.Frontiers in neuroscience · 2016Article
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Assistive technology allows for intensive practice and kinematic measurements during rehabilitation exercises. More recent approaches attach a gravity-compensating multi-joint exoskeleton to the upper extremity to facilitate task-oriented training in three-dimensional space with virtual reality feedback. The movement quality, however, is mostly captured through end-point measures that lack information on proximal inter-joint coordination. This limits the differentiation between compensation strategies and genuine restoration both during the exercise and in the course of rehabilitation. We extended in this proof-of-concept study a commercially available seven degree-of-freedom arm exoskeleton by using the real-time sensor data to display a three-dimensional multi-joint visualization of the user's arm. Ten healthy subjects and three severely affected chronic stroke patients performed reach-to-grasp exercises resembling activities of daily living assisted by the attached exoskeleton and received closed-loop online feedback of the three-dimensional movement in virtual reality. Patients in this pilot study differed significantly with regard to motor performance (accuracy, temporal efficiency, range of motion) and movement quality (proximal inter-joint coordination) from the healthy control group. In the course of 20 training and feedback sessions over 4 weeks, these pathological measures improved significantly toward the reference parameters of healthy participants. It was moreover feasible to capture the evolution of movement pattern kinematics of the shoulder and elbow and to quantify the individual degree of natural movement restoration for each patient. The virtual reality visualization and closed-loop feedback of joint-specific movement kinematics makes it possible to detect compensation strategies and may provide a tool to achieve the rehabilitation goals in accordance with the individual capacity for genuine functional restoration; a proposal that warrants further investigation in controlled studies with a larger cohort of stroke patients.
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