Evidence map›Paper›PMID 29626272›Full record

ArticleAnnals of biomedical engineering2018

A Semi-passive Planar Manipulandum for Upper-Extremity Rehabilitation.

Chih-Kang Chang, Edward P Washabaugh, Andrew Gwozdziowski, C David Remy, Chandramouli Krishnan

Erratum issuedAbstract read
In one paragraph

Article in Annals of biomedical engineering, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.9field-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

7 citing papers in PubMed, 17 citations in OpenAlex.

  1. Review
  2. Article
  3. Motor Modules are Impacted by the Number of Reaching Directions Included in the Analysis.IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society · 2020
    Article
  4. Article
  5. Article
  6. Article
  7. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors at 1 institution in 1 country.

Chih-Kang ChangNeuromuscular and Rehabilitation Robotics Laboratory (NeuRRo Lab), Department of Physical Medicine and Rehabilitation, University of Michigan, Ann Arbor, MI, USA.
Edward P WashabaughNeuromuscular and Rehabilitation Robotics Laboratory (NeuRRo Lab), Department of Physical Medicine and Rehabilitation, University of Michigan, Ann Arbor, MI, USA.
Andrew GwozdziowskiNeuromuscular and Rehabilitation Robotics Laboratory (NeuRRo Lab), Department of Physical Medicine and Rehabilitation, University of Michigan, Ann Arbor, MI, USA.
C David RemyRAM Lab, Department of Mechanical Engineering, University of Michigan, Ann Arbor, MI, USA.
Chandramouli KrishnanNeuromuscular and Rehabilitation Robotics Laboratory (NeuRRo Lab), Department of Physical Medicine and Rehabilitation, University of Michigan, Ann Arbor, MI, USA. mouli@umich.edu.ORCID http://orcid.org/0000-0002-7278-7389
University of Michigan · US

Funding

Techniques DevelopmentP2CHD086844 · NICHD · MEDICAL UNIVERSITY OF SOUTH CAROLINA · PI BOGER, HEATHER A · 2015 to 2024
$12.7M
NRI: Wearable eMbots to Induce Recovery of FunctionR01EB019834 · NIBIB · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI DURFEE, WILLIAM K, GILLESPIE, RICHARD BRENT · 2014 to 2016
$854k
National Institutes of Health R01-EB019834National Science Foundation DGE#1256260NIBIB NIH HHS R01 EB019834NICHD NIH HHS P2C HD086844
6 · The paper itself

Abstract

Robotic rehabilitation is a promising approach to treat individuals with neurological or orthopedic disorders. However, despite significant advancements in the field of rehabilitation robotics, this technology has found limited traction in clinical practice. A key reason for this issue is that most robots are expensive, bulky, and not scalable for in-home rehabilitation. Here, we introduce a semi-passive rehabilitation robot (SepaRRo) that uses controllable passive actuators (i.e., brakes) to provide controllable resistances at the end-effector over a large workspace in a manner that is cost-effective and safe for in-home use. We also validated the device through theoretical analyses, hardware experiments, and human subject experiments. We found that by including kinematic redundancies in the robot's linkages, the device was able to provide controllable resistances to purely resist the movement of the end-effector, or to gently steer (i.e., perturb) its motion away from the intended path. When testing these capabilities on human subjects, we found that many of the upper-extremity muscles could be selectively targeted based on the forcefield prescribed to the user. These results indicate that SepaRRo could serve as a low-cost therapeutic tool for upper-extremity rehabilitation; however, further testing is required to evaluate its therapeutic benefits in patient population.

Indexed as

Models, BiologicalRoboticsHumansMusculoskeletal DiseasesNervous System DiseasesUpper ExtremityDesignFeedbackKinematicsPlanarReachingSimulationTwo-dimensional

Identifiers

PMID29626272
PMCPMC5980770
OpenAlexW2795904827

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.