ReviewBehavioural neurology2017
Hand Rehabilitation Robotics on Poststroke Motor Recovery.
Review in Behavioural neurology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 46 papers, 3 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
46 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- Upper limb robotic rehabilitation following stroke: a systematic review and meta-analysis investigating efficacy and the influence of device features and program parameters.Journal of neuroengineering and rehabilitation · 2025Pooled it
- Robot-assisted distal training improves upper limb dexterity and function after stroke: a systematic review and meta-regression.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2022Pooled it
- Brain-computer interface robotics for hand rehabilitation after stroke: a systematic review.Journal of neuroengineering and rehabilitation · 2021Pooled it
- Comparative effects of EMG-driven robot-assisted therapy versus task-oriented training on motor and daily function in patients with stroke: a randomized cross-over trial.Journal of neuroengineering and rehabilitation · 2022Trial
- Hand rehabilitation with sonification techniques in the subacute stage of stroke.Scientific reports · 2021Trial
- Reliability, validity and discriminant ability of a robotic device for finger training in patients with subacute stroke.Journal of neuroengineering and rehabilitation · 2020Trial
- Brain responses to different action observation paradigms and assessing transferable cross-paradigm decoding.Journal of neuroengineering and rehabilitation · 2026Article
- Review of Soft Robotic Gloves and Functional Electrical Stimulation Affecting Hand Function Rehabilitation for Stroke Patients.Biomimetics (Basel, Switzerland) · 2026Review
- Reliability of biometric devices for measuring hand grip and finger pinch strength in stroke patients over 50: a prospective observational study.Scientific reports · 2025Observational
- Investigating the Neural Mechanisms of Self-Controlled and Externally Controlled Movement with a Flexible Exoskeleton Using EEG Source Localization.Sensors (Basel, Switzerland) · 2025Article
- Design and Optimization of a Custom-Made Six-Bar Exoskeleton for Pulp Pinch Grasp Rehabilitation in Stroke Patients.Biomimetics (Basel, Switzerland) · 2024Article
- An Overall Automated Architecture Based on the Tapping Test Measurement Protocol: Hand Dexterity Assessment through an Innovative Objective Method.Sensors (Basel, Switzerland) · 2024Article
- Measurement properties of movement smoothness metrics for upper limb reaching movements in people with moderate to severe subacute stroke.Journal of neuroengineering and rehabilitation · 2024Article
- Three-Dimensional Magnetic Rehabilitation, Robot-Enhanced Hand-Motor Recovery after Subacute Stroke: A Randomized Controlled Trial.Brain sciences · 2023Article
- Development and Testing of a Soft Exoskeleton Robotic Hand Training Device.Sensors (Basel, Switzerland) · 2023Article
- Initial Testing of Robotic Exoskeleton Hand Device for Stroke Rehabilitation.Sensors (Basel, Switzerland) · 2023Article
- Design and Development of a Spherical 5-Bar Thumb Exoskeleton Mechanism for Poststroke Rehabilitation.Journal of medical devices · 2023Article
- Article
- Interaction with a Hand Rehabilitation Exoskeleton in EMG-Driven Bilateral Therapy: Influence of Visual Biofeedback on the Users' Performance.Sensors (Basel, Switzerland) · 2023Article
- A CNN-LSTM model for six human ankle movements classification on different loads.Frontiers in human neuroscience · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The recovery of hand function is one of the most challenging topics in stroke rehabilitation. Although the robot-assisted therapy has got some good results in the latest decades, the development of hand rehabilitation robotics is left behind. Existing reviews of hand rehabilitation robotics focus either on the mechanical design on designers' view or on the training paradigms on the clinicians' view, while these two parts are interconnected and both important for designers and clinicians. In this review, we explore the current literature surrounding hand rehabilitation robots, to help designers make better choices among varied components and thus promoting the application of hand rehabilitation robots. An overview of hand rehabilitation robotics is provided in this paper firstly, to give a general view of the relationship between subjects, rehabilitation theories, hand rehabilitation robots, and its evaluation. Secondly, the state of the art hand rehabilitation robotics is introduced in detail according to the classification of the hardware system and the training paradigm. As a result, the discussion gives available arguments behind the classification and comprehensive overview of hand rehabilitation robotics.
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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.