ArticleWearable technologies2024
Combining soft robotics and telerehabilitation for improving motor function after stroke.
Article in Wearable technologies, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07287059 (Effects of Wearable Robotic and Virtual Reality-Assisted Interventions on Hand Function in Stroke Rehabilitation), which is not on this map. Cited by 14 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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.
Effects of Wearable Robotic and Virtual Reality-Assisted Interventions on Hand Function in Stroke Rehabilitation
Who cites it
14 citing papers in PubMed, 24 citations in OpenAlex.
- Feasibility of post-stroke hand rehabilitation supported by a soft robotic hand orthosis in-clinic and at-home.Journal of neuroengineering and rehabilitation · 2025Trial
- Review
- Gas-permeable and stretchable nanoscale anisotropic conductive film for room-temperature, pressure-free interconnections.Science advances · 2026Article
- Toward Intelligent Rehabilitation Program Management: A System-Level Review of AI Architectures.Bioengineering (Basel, Switzerland) · 2026Review
- Bioinspired Intelligent Soft Robotics: From Multidisciplinary Integration to Next-Generation Intelligence.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Review
- Cloud-Based Control System with Sensing and Actuating Textile-Based IoT Gloves for Telerehabilitation Applications.Advanced intelligent systems (Weinheim an der Bergstrasse, Germany) · 2025Article
- Soft Robotics in Upper Limb Neurorehabilitation and Assistance: Current Clinical Evidence and Recommendations.Soft robotics · 2025Review
- Clinician perceptions of a novel wearable robotic hand orthosis for post-stroke hemiparesis.Disability and rehabilitation · 2025Article
- Enhancing dexterity: Soft pneumatic actuation utilizing granular jamming for a human finger flexo-extension.Wearable technologies · 2025Article
- Energy conservation-based on-line tuning of an analytical model for accurate estimation of multi-joint stiffness with joint modular soft actuators.Wearable technologies · 2025Article
- Wearable and Implantable Soft Robots.Chemical reviews · 2024Review
- Article
- Access, Readiness and Willingness to Engage in Allied Health Telerehabilitation Services for Adults: Does Cultural and Linguistic Diversity Make a Difference?Healthcare (Basel, Switzerland) · 2024Article
- A 4-DOF Exosuit Using a Hybrid EEG-Based Control Approach for Upper-Limb Rehabilitation.IEEE journal of translational engineering in health and medicine · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
14 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Telerehabilitation and robotics, either traditional rigid or soft, have been extensively studied and used to improve hand functionality after a stroke. However, a limited number of devices combined these two technologies to such a level of maturity that was possible to use them at the patients' home, unsupervised. Here we present a novel investigation that demonstrates the feasibility of a system that integrates a soft inflatable robotic glove, a cloud-connected software interface, and a telerehabilitation therapy. Ten chronic moderate-to-severe stroke survivors independently used the system at their home for 4 weeks, following a software-led therapy and being in touch with occupational therapists. Data from the therapy, including automatic assessments by the robot, were available to the occupational therapists in real-time, thanks to the cloud-connected capability of the system. The participants used the system intensively (about five times more movements per session than the standard care) for a total of more than 8 hr of therapy on average. We were able to observe improvements in standard clinical metrics (FMA +3.9 ± 4.0,
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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.