Evidence map›Paper›PMID 29993459›Full record

ArticleIEEE transactions on bio-medical engineering2019

A Portable Passive Rehabilitation Robot for Upper-Extremity Functional Resistance Training.

Edward Washabaugh, Jane Guo, Chih-Kang Chang, David Remy, Chandramouli Krishnan

Open access · greenAbstract read
In one paragraph

Article in IEEE transactions on bio-medical engineering, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 1 pooled it
5.0field-weighted citation impact, top 4% 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

20 citing papers in PubMed, 1 synthesis or guideline pooled it, 72 citations in OpenAlex.

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  16. 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
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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 1 institution in 1 country.

Edward Washabaugh
Jane Guo
Chih-Kang Chang
David Remy
Chandramouli Krishnan
University of Michigan · US

Funding

Techniques DevelopmentP2CHD086844 · NICHD · MEDICAL UNIVERSITY OF SOUTH CAROLINA · PI THOMPSON, AIKO · 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
Functional Resistance Training during Gait: A Novel Intervention to Improve Knee Function after ACL ReconstructionR21HD092614 · NICHD · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI KRISHNAN, CHANDRAMOULI, PALMIERI-SMITH, RIANN MARIE · 2017 to 2018
$428k
NIBIB NIH HHS R01 EB019834NICHD NIH HHS P2C HD086844NICHD NIH HHS R21 HD092614
6 · The paper itself

Abstract

objectiveLoss of arm function is common in individuals with neurological damage, such as stroke or cerebral palsy. Robotic devices that address muscle strength deficits in a task-specific manner can assist in the recovery of arm function; however, current devices are typically large, bulky, and expensive to be routinely used in the clinic or at home. This study sought to address this issue by developing a portable planar passive rehabilitation robot, PaRRo.

methodsWe designed PaRRo with a mechanical layout that incorporated kinematic redundancies to generate forces that directly oppose the user's movement. Cost-efficient eddy current brakes were used to provide scalable resistances. The lengths of the robot's linkages were optimized to have a reasonably large workspace for human planar reaching. We then performed theoretical analysis of the robot's resistive force generating capacity and steerable workspace using MATLAB simulations. We also validated the device by having a subject move the end-effector along different paths at a set velocity using a metronome while simultaneously collecting surface electromyography (EMG) and end-effector forces felt by the user.

resultsResults from simulation experiments indicated that the robot was capable of producing sufficient end-effector forces for functional resistance training. We also found the endpoint forces from the user were similar to the theoretical forces expected at any direction of motion. EMG results indicated that the device was capable of providing adjustable resistances based on subjects' ability levels, as the muscle activation levels scaled with increasing magnet exposures.

conclusionThese results indicate that PaRRo is a feasible approach to provide functional resistance training to the muscles along the upper extremity. SIGNIFICANCE: The proposed robotic device could provide a technological breakthrough that will make rehabilitation robots accessible for small outpatient rehabilitation centers and in-home therapy.

Indexed as

Neurological RehabilitationResistance TrainingBiomechanical PhenomenaElectromyographyEquipment DesignFemaleHumansMaleMuscle, SkeletalRobotics

Identifiers

PMID29993459
PMCPMC6450771
OpenAlexW2809563891

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.