Evidence map›Paper›PMID 26180655›Full record

ArticleProceedings of the ... IEEE/RAS-EMBS International Conference on Biomedical Robotics and Biomechatronics. IEEE/RAS-EMBS International Conference on Biomedical Robotics and Biomechatronics2012

Comparing Two Computational Mechanisms for Explaining Functional Recovery in Robot-Therapy of Stroke Survivors.

Davide Piovesan, Maura Casadio, Ferdinando A Mussa-Ivaldi, Pietro Morasso

Abstract read
In one paragraph

Article in Proceedings of the ... IEEE/RAS-EMBS International Conference on Biomedical Robotics and Biomechatronics. IEEE/RAS-EMBS International Conference on Biomedical Robotics and Biomechatronics, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–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

8 citing papers in PubMed.

  1. Development of an EMG-Controlled Serious Game for Rehabilitation.IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society · 2019
    Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Haptic recognition of dystonia and spasticity in simulated multi-joint hypertonia.IEEE ... International Conference on Rehabilitation Robotics : [proceedings] · 2013
    Article
  7. Therapist recognition of impaired muscle groups in simulated multi-joint hypertonia.IEEE ... International Conference on Rehabilitation Robotics : [proceedings] · 2013
    Article
  8. Third-Order Muscle Models: The Role of Oscillatory Behavior In Force Control.International Mechanical Engineering Congress and Exposition : [proceedings]. International Mechanical Engineering Congress and Exposition · 2012
    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

4 authors.

Davide PiovesanSensory Motor Performance Program at the Rehabilitation Institute of Chicago (SMPP-RIC), Chicago, IL 60611 USA (phone: 312-238-1225; fax: 312-238-2208).
Maura CasadioDept of Informatics, Systems and Telematics, University of Genoa, Genoa, Italy.
Ferdinando A Mussa-IvaldiRehabilitation Institute of Chicago, and the Department of Physiology Northwestern University Chicago, IL 60611 USA.
Pietro MorassoItalian Institute of Technology, Dept. of Robotics, Brain and Cognitive Sciences, 16163 Genoa, Italy.

Funding

LEARNING AND ADAPTATION OF MULTIJOINT ARM MOVEMENTSR01NS035673 · NINDS · REHABILITATION INSTITUTE RESEARCH CORP · PI MUSSA-IVALDI, FERDINANDO ALESSANDRO · 1996 to 2012
$2.7M
NINDS NIH HHS R01 NS035673
6 · The paper itself

Abstract

In this paper we discuss two possible strategies of movement control that can be used by stroke survivors during rehabilitation robotics training. To perform a reaching task in a minimally assistive force field, subjects either can move following the trajectory provided by the assistive force or they can use an internal representation of a minimum jerk trajectory from their starting position to the target. We used the stiffness and damping values directly estimated from the experimental data to simulate the trajectories that result by taking into account both hypotheses. The comparison of the simulated results with the data collected on four hemiparetic subjects supports the hypothesis that the central nervous system (CNS) is still able to correctly plan the movement, although a normal execution is impaired.

Identifiers

PMID26180655
PMCPMC4500168

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Registered trials

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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.