SynthesisSensors (Basel, Switzerland)2020
Robot-Aided Systems for Improving the Assessment of Upper Limb Spasticity: A Systematic Review.
Synthesis in Sensors (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05662878 (Evaluation of Hand Strength and Spasticity in Hemiplegic Patients Using Hand-Finger Robot Device), which is not on this map. Cited by 12 papers, 1 of them a synthesis 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.
Evaluation of Hand Strength and Spasticity in Hemiplegic Patients Using Hand-Finger Robot Device
Who cites it
12 citing papers in PubMed, 1 synthesis or guideline pooled it, 34 citations in OpenAlex.
- Technology-assisted assessment of spasticity: a systematic review.Journal of neuroengineering and rehabilitation · 2022Pooled it
- Feasibility of Wearable Devices for Motivating Post-Stroke Patients.Sensors (Basel, Switzerland) · 2025Trial
- Evaluating the Intensity of Muscle Contraction by Near-Infrared Spectroscopy, a Potential Application for Scaling Muscle Spasm.Journal of biophotonics · 2025Article
- SpasticSim: a synthetic data generation method for upper limb spasticity modelling in neurorehabilitation.Scientific reports · 2024Article
- Objectivizing Measures of Post-Stroke Hand Rehabilitation through Multi-Disciplinary Scales.Journal of clinical medicine · 2023Review
- Robot-Aided Motion Analysis in Neurorehabilitation: Benefits and Challenges.Diagnostics (Basel, Switzerland) · 2023Review
- Spasticity evaluation with the Amadeo Tyromotion device in patients with hemispheric stroke.Frontiers in neurorobotics · 2023Article
- An online method to monitor hand muscle tone during robot-assisted rehabilitation.Frontiers in robotics and AI · 2023Article
- Quantitative assessment of spasticity: a narrative review of novel approaches and technologies.Frontiers in neurology · 2023Review
- Sensors Technology for Medical Robotics.Sensors (Basel, Switzerland) · 2022Article
- Design of a Data Glove for Assessment of Hand Performance Using Supervised Machine Learning.Sensors (Basel, Switzerland) · 2021Article
- Safety Evaluation and Experimental Study of a New Bionic Muscle Cable-Driven Lower Limb Rehabilitation Robot.Sensors (Basel, Switzerland) · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 1 institution in 1 country.
Funding
Abstract
Spasticity is a motor disorder that causes stiffness or tightness of the muscles and can interfere with normal movement, speech, and gait. Traditionally, the spasticity assessment is carried out by clinicians using standardized procedures for objective evaluation. However, these procedures are manually performed and, thereby, they could be influenced by the clinician's subjectivity or expertise. The automation of such traditional methods for spasticity evaluation is an interesting and emerging field in neurorehabilitation. One of the most promising approaches is the use of robot-aided systems. In this paper, a systematic review of systems focused on the assessment of upper limb (UL) spasticity using robotic technology is presented. A systematic search and review of related articles in the literature were conducted. The chosen works were analyzed according to the morphology of devices, the data acquisition systems, the outcome generation method, and the focus of intervention (assessment and/or training). Finally, a series of guidelines and challenges that must be considered when designing and implementing fully-automated robot-aided systems for the assessment of UL spasticity are summarized.
Indexed as
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What OpenQuestion holds
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.