Evidence map›Paper›PMID 29707189›Full record

ReviewJournal of healthcare engineering2018

A Review of Robotics in Neurorehabilitation: Towards an Automated Process for Upper Limb.

E D Oña, R Cano-de la Cuerda, P Sánchez-Herrera, C Balaguer, A Jardón

Registry-linked trialAbstract readReview
In one paragraph

Review in Journal of healthcare engineering, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05855096 (Clinical Assessment And Treatment Preferences of Physiotherapists Working in Neurorehabilitation), which is not on this map. Cited by 30 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed, 2 pooled it
–field-weighted citation impact
1 · What the graph read from 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.

2 · The registry

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.

NCT05855096 completednot on this mapstarted 2023, after this paper: background citation

Clinical Assessment And Treatment Preferences of Physiotherapists Working in Neurorehabilitation: A Research From Turkey

TypeobservationalSponsorBiruni UniversityRan2023 to 2023Enrolled95ConditionsNeurorehabilitation, Physiotherapist, Clinical Assessment, Treatment PreferencesArmsGoogle Form Questionnaire
3 · Its place in the literature

Who cites it

30 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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  9. Human-in-the-Loop Myoelectric Pattern Recognition Control of an Arm-Support Robot to Improve Reaching in Stroke Survivors.IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society · 2025
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

E D OñaRobotics Lab, Department of Systems Engineering and Automation, University Carlos III of Madrid, Avda. de la Universidad 30, 28911 Leganés, Madrid, Spain.ORCID 0000-0003-0791-860X
R Cano-de la CuerdaDepartment of Physical Therapy, Occupational Therapy, Physical Medicine and Rehabilitation, University King Juan Carlos, Avda. de Atenas s/n, 28922 Alcorcón, Madrid, Spain.ORCID 0000-0002-1118-4234
P Sánchez-HerreraDepartment of Physical Therapy, Occupational Therapy, Physical Medicine and Rehabilitation, University King Juan Carlos, Avda. de Atenas s/n, 28922 Alcorcón, Madrid, Spain.
C BalaguerRobotics Lab, Department of Systems Engineering and Automation, University Carlos III of Madrid, Avda. de la Universidad 30, 28911 Leganés, Madrid, Spain.
A JardónRobotics Lab, Department of Systems Engineering and Automation, University Carlos III of Madrid, Avda. de la Universidad 30, 28911 Leganés, Madrid, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Robot-mediated neurorehabilitation is a growing field that seeks to incorporate advances in robotics combined with neuroscience and rehabilitation to define new methods for treating problems related with neurological diseases. In this paper, a systematic literature review is conducted to identify the contribution of robotics for upper limb neurorehabilitation, highlighting its relation with the rehabilitation cycle, and to clarify the prospective research directions in the development of more autonomous rehabilitation processes. With this aim, first, a study and definition of a general rehabilitation process are made, and then, it is particularized for the case of neurorehabilitation, identifying the components involved in the cycle and their degree of interaction between them. Next, this generic process is compared with the current literature in robotics focused on upper limb treatment, analyzing which components of this rehabilitation cycle are being investigated. Finally, the challenges and opportunities to obtain more autonomous rehabilitation processes are discussed. In addition, based on this study, a series of technical requirements that should be taken into account when designing and implementing autonomous robotic systems for rehabilitation is presented and discussed.

Indexed as

HumansNervous System DiseasesNeurological RehabilitationProspective StudiesRecovery of FunctionRoboticsStroke RehabilitationUpper Extremity

Identifiers

PMID29707189
PMCPMC5901488

What OpenQuestion holds

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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.