Evidence map›Paper›PMID 25769168›Full record

ArticleIEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society2015

Robot-Aided Neurorehabilitation: A Pediatric Robot for Ankle Rehabilitation.

Konstantinos P Michmizos, Stefano Rossi, Enrico Castelli, Paolo Cappa, Hermano Igo Krebs

Open access · greenAbstract read
In one paragraph

Article in IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 1 pooled it
7.8field-weighted citation impact, top 2% 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

21 citing papers in PubMed, 1 synthesis or guideline pooled it, 93 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Review
  4. User-Adaptive Variable Impedance Control Using Bayesian Optimization for Robot-Aided Ankle Rehabilitation.IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society · 2025
    Article
  5. Advanced rehabilitation in ischaemic stroke research.Stroke and vascular neurology · 2024
    Review
  6. Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. In Memoriam: Paolo Cappa.Sensors (Basel, Switzerland) · 2017
    Article
  18. Exergaming with a pediatric exoskeleton: Facilitating rehabilitation and research in children with cerebral palsy.IEEE ... International Conference on Rehabilitation Robotics : [proceedings] · 2017
    Article
  19. Article
  20. 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

5 authors at 4 institutions in 4 countries.

Konstantinos P Michmizos
Stefano Rossi
Enrico Castelli
Paolo Cappa
Hermano Igo Krebs
Bambino Gesù Children's Hospital · ITFujita Health University · JPHarvard University · USUniversità degli Studi della Tuscia · IT

Funding

Transcranial Direct Current Stimulation and Robotic Training in Chronic StrokeR01HD069776 · NICHD · WINIFRED MASTERSON BURKE MED RES INST · PI EDWARDS, DYLAN JAMES · 2012 to 2016
$3.2M
NICHD NIH HHS R01 HD069776NICHD NIH HHS R01HD069776-02
6 · The paper itself

Abstract

This paper presents the pediAnklebot, an impedance-controlled low-friction, backdriveable robotic device developed at the Massachusetts Institute of Technology that trains the ankle of neurologically impaired children of ages 6-10 years old. The design attempts to overcome the known limitations of the lower extremity robotics and the unknown difficulties of what constitutes an appropriate therapeutic interaction with children. The robot's pilot clinical evaluation is on-going and it incorporates our recent findings on the ankle sensorimotor control in neurologically intact subjects, namely the speed-accuracy tradeoff, the deviation from an ideally smooth ankle trajectory, and the reaction time. We used these concepts to develop the kinematic and kinetic performance metrics that guided the ankle therapy in a similar fashion that we have done for our upper extremity devices. Here we report on the use of the device in at least nine training sessions for three neurologically impaired children. Results demonstrated a statistically significant improvement in the performance metrics assessing explicit and implicit motor learning. Based on these initial results, we are confident that the device will become an effective tool that harnesses plasticity to guide habilitation during childhood.

Indexed as

AnkleAlgorithmsBiomechanical PhenomenaCerebral PalsyChildEquipment DesignFemaleGames, ExperimentalHumansLearningMaleNervous System DiseasesNeurological RehabilitationPsychomotor PerformanceReaction TimeRobotics

Identifiers

PMID25769168
PMCPMC4692803
OpenAlexW2024152672

What OpenQuestion holds

Textmetadata
LicenceTDM
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.