Evidence map›Paper›PMID 29025427›Full record

ArticleJournal of neuroengineering and rehabilitation2017

Adaptive hybrid robotic system for rehabilitation of reaching movement after a brain injury: a usability study.

F Resquín, J Gonzalez-Vargas, J Ibáñez, F Brunetti, I Dimbwadyo, L Carrasco, S Alves, C Gonzalez-Alted, A Gomez-Blanco, J L Pons

Open access · goldAbstract read
In one paragraph

Article in Journal of neuroengineering and rehabilitation, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 2 pooled it
1.8field-weighted citation impact, top 15% of its field
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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed, 2 syntheses or guidelines pooled it, 27 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Review
  5. Article
  6. Brain-Machine Neurofeedback: Robotics or Electrical Stimulation?Frontiers in bioengineering and biotechnology · 2020
    Article
  7. Review
  8. Article
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

10 authors at 5 institutions in 4 countries.

F ResquínNeural Rehabilitation Group, Cajal Institute of the Spanish National Research Council (CSIC), Avda. Doctor Arce, 37, 28002, Madrid, Spain. franresquin@gmail.com.
J Gonzalez-VargasNeural Rehabilitation Group, Cajal Institute of the Spanish National Research Council (CSIC), Avda. Doctor Arce, 37, 28002, Madrid, Spain.
J IbáñezNeural Rehabilitation Group, Cajal Institute of the Spanish National Research Council (CSIC), Avda. Doctor Arce, 37, 28002, Madrid, Spain.
F BrunettiCatholic University of Asunción, Asunción, Paraguay.
I DimbwadyoOccupational Therapy Department. Occupational Thinks Research Group. Instituto de Neurociencias y Ciencias del Movimiento (INCIMOV), Centro Superior de Estudios Universitarios La Salle. Universidad Autónoma de Madrid, Madrid, Spain.
L CarrascoOccupational Thinks Research Group, Centro Superior de Estudios Universitarios La Salle, Universidad Autónoma de Madrid, Madrid, Spain.
S AlvesCentro de Referencia Estatal de Atención al Daño Cerebral (CEADAC), Madrid, Spain.
C Gonzalez-AltedCentro de Referencia Estatal de Atención al Daño Cerebral (CEADAC), Madrid, Spain.
A Gomez-BlancoCentro de Referencia Estatal de Atención al Daño Cerebral (CEADAC), Madrid, Spain.
J L PonsNeural Rehabilitation Group, Cajal Institute of the Spanish National Research Council (CSIC), Avda. Doctor Arce, 37, 28002, Madrid, Spain.
Instituto Cajal · ESReference Center for Research, Development and Innovation in ATM · ESUniversidad Autónoma de Madrid · ESConsejo Superior de Investigaciones Científicas · ESUniversidad Católica Nuestra Señora de la Asunción · PY

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundBrain injury survivors often present upper-limb motor impairment affecting the execution of functional activities such as reaching. A currently active research line seeking to maximize upper-limb motor recovery after a brain injury, deals with the combined use of functional electrical stimulation (FES) and mechanical supporting devices, in what has been previously termed hybrid robotic systems. This study evaluates from the technical and clinical perspectives the usability of an integrated hybrid robotic system for the rehabilitation of upper-limb reaching movements after a brain lesion affecting the motor function.

methodsThe presented system is comprised of four main components. The hybrid assistance is given by a passive exoskeleton to support the arm weight against gravity and a functional electrical stimulation device to assist the execution of the reaching task. The feedback error learning (FEL) controller was implemented to adjust the intensity of the electrical stimuli delivered on target muscles according to the performance of the users. This control strategy is based on a proportional-integral-derivative feedback controller and an artificial neural network as the feedforward controller. Two experiments were carried out in this evaluation. First, the technical viability and the performance of the implemented FEL controller was evaluated in healthy subjects (N = 12). Second, a small cohort of patients with a brain injury (N = 4) participated in two experimental session to evaluate the system performance. Also, the overall satisfaction and emotional response of the users after they used the system was assessed.

resultsIn the experiment with healthy subjects, a significant reduction of the tracking error was found during the execution of reaching movements. In the experiment with patients, a decreasing trend of the error trajectory was found together with an increasing trend in the task performance as the movement was repeated. Brain injury patients expressed a great acceptance in using the system as a rehabilitation tool.

conclusionsThe study demonstrates the technical feasibility of using the hybrid robotic system for reaching rehabilitation. Patients' reports on the received intervention reveal a great satisfaction and acceptance of the hybrid robotic system.

trial registrationRetrospective trial registration in ISRCTN Register with study ID ISRCTN12843006 .

Indexed as

AdultBrain InjuriesFemaleHumansMaleMiddle AgedMovementNeural Networks, ComputerRetrospective StudiesRoboticsStroke RehabilitationUpper ExtremityFeedback error learningFunctional electrical stimulationHybrid robotic systemsStroke rehabilitationUpper limb rehabilitation

Identifiers

PMID29025427
PMCPMC5639749
OpenAlexW2762198108

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.