Evidence map›Paper›PMID 21792622›Full record

Trial reportMedical & biological engineering & computing2011

Quantitative evaluation of upper-limb motor control in robot-aided rehabilitation.

Loredana Zollo, Luca Rossini, Marco Bravi, Giovanni Magrone, Silvia Sterzi, Eugenio Guglielmelli

Abstract readRandomized Controlled Trial
PubMed Publisher
In one paragraph

Trial report in Medical & biological engineering & computing, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
40citing 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.

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

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

  1. Pooled it
  2. Pooled it
  3. Key components of mechanical work predict outcomes in robotic stroke therapy.Journal of neuroengineering and rehabilitation · 2020
    Trial
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  5. Trial
  6. Article
  7. Automated planning and scheduling in robot-aided rehabilitation: a review.Journal of neuroengineering and rehabilitation · 2025
    Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Review
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Motor Function Assessment of Upper Limb in Stroke Patients.Journal of healthcare engineering · 2021
    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

6 authors.

Loredana ZolloLaboratory of Biomedical Robotics and Biomicrosystems, Università Campus Bio-Medico, Rome, Italy. l.zollo@unicampus.it.
Luca Rossini
Marco Bravi
Giovanni Magrone
Silvia Sterzi
Eugenio Guglielmelli

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This paper is focused on the multimodal analysis of patient performance, carried out by means of robotic technology and wearable sensors, and aims at providing quantitative measure of biomechanical and motion planning features of arm motor control following rehabilitation. Upper-limb robotic therapy was administered to 24 community-dwelling persons with chronic stroke. Performance indices on patient motor performance were computed from data recorded with the InMotion2 robotic machine and a magneto-inertial sensor. Motor planning issues were investigated by means of techniques of motion decomposition into submovements. A linear regression analysis was carried out to study correlation with clinical scales. Robotic outcome measures showed a significant improvement of kinematic motor performance; improvement of dynamic components was more significant in resistive motion and highly correlated with MP. The analysis of motion decomposition into submovements showed an important change with recovery of submovement number, amplitude and order, tending to patterns measured in healthy subjects. Preliminary results showed that arm biomechanical functions can be objectively measured by means of the proposed set of performance indices. Correlation with MP is high, while correlation with FM is moderate. Features related to motion planning strategies can be extracted from submovement analysis.

Indexed as

Stroke RehabilitationAdultAgedAged, 80 and overFemaleHumansMaleMiddle AgedParesisPhysical Therapy ModalitiesRecovery of FunctionRoboticsStrokeTreatment OutcomeUpper Extremity

Identifiers

What OpenQuestion holds

Textmetadata
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.