ArticleFrontiers in human neuroscience2021
Dissociating Sensorimotor Recovery and Compensation During Exoskeleton Training Following Stroke.
Article in Frontiers in human neuroscience, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.
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Who cites it
10 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Technology-Based Compensation Assessment and Detection of Upper Extremity Activities of Stroke Survivors: Systematic Review.Journal of medical Internet research · 2022Pooled it
- Variants of active assist robotic therapy: feasibility of virtual assistance and proprioceptive training as gauged by their effects on success and motivation during finger movement training after stroke.Journal of neuroengineering and rehabilitation · 2025Trial
- To learn or not to learn? Model-based estimation of motor learning in a large, "in the wild", home rehabilitation database.PLOS digital health · 2026Article
- Article
- JcvPCA and JsvCRP: A set of metrics to evaluate changes in joint coordination strategies.PloS one · 2025Article
- Gravity support from a robotic exoskeleton increases spontaneous use of the nondominant upper extremity during a choice reaching task.Journal of neurophysiology · 2024Article
- Neurophysiological underpinnings of an intensive protocol for upper limb motor recovery in subacute and chronic stroke patients.European journal of physical and rehabilitation medicine · 2024Article
- A guide to inter-joint coordination characterization for discrete movements: a comparative study.Journal of neuroengineering and rehabilitation · 2023Review
- Article
- A Review of Artificial Intelligence and Robotics in Transformed Health Ecosystems.Frontiers in medicine · 2022Article
Corrections and comments
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Authors and funding
8 authors.
Funding
Abstract
The quality of arm movements typically improves in the sub-acute phase of stroke affecting the upper extremity. Here, we used whole arm kinematic analysis during reaching movements to distinguish whether these improvements are due to true recovery or to compensation. Fifty-three participants with post-acute stroke performed ∼80 reaching movement tests during 4 weeks of training with the ArmeoSpring exoskeleton. All participants showed improvements in end-effector performance, as measured by movement smoothness. Four ArmeoSpring angles, shoulder horizontal (SH) rotation, shoulder elevation (SE), elbow rotation, and forearm rotation, were recorded and analyzed. We first characterized healthy joint coordination patterns by performing a sparse principal component analysis on these four joint velocities recorded during reaching tests performed by young control participants. We found that two dominant joint correlations [SH with elbow rotation and SE with forearm rotation] explained over 95% of variance of joint velocity data. We identified two clusters of stroke participants by comparing the evolution of these two correlations in all tests. In the "Recoverer" cluster (
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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.