Evidence map›Paper›PMID 40018444›Full record

ArticleDevice2024

A magnetically controlled soft robotic glove for hand rehabilitation.

Leah T Gaeta, M Deniz Albayrak, Lorenzo Kinnicutt, Susanna Aufrichtig, Pranav Sultania, Hanna Schlegel, Terry D Ellis, Tommaso Ranzani

Abstract read
In one paragraph

Article in Device, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

8 authors.

Leah T GaetaDepartment of Mechanical Engineering, Boston University, Boston, MA 02215 USA.
M Deniz AlbayrakDepartment of Mechanical Engineering, Boston University, Boston, MA 02215 USA.
Lorenzo KinnicuttDepartment of Mechanical Engineering, Boston University, Boston, MA 02215 USA.
Susanna AufrichtigPalo Alto Senior High School, Palo Alto, CA 94301 USA.
Pranav SultaniaDepartment of Mechanical Engineering, Boston University, Boston, MA 02215 USA.
Hanna SchlegelDepartment of Mechanical Engineering, Boston University, Boston, MA 02215 USA.
Terry D EllisBoston University Sargent College of Health and Rehabilitation Services, Physical Therapy and Athletic Training, Boston, Massachusetts, USA.
Tommaso RanzaniDepartment of Mechanical Engineering, Boston University, Boston, MA 02215 USA.

Funding

Enabling advanced endovascular beating-heart procedures through soft roboticsR21EB028363 · NIBIB · BOSTON UNIVERSITY (CHARLES RIVER CAMPUS) · PI RANZANI, TOMMASO · 2020 to 2022
$716k
NIBIB NIH HHS R21 EB028363
6 · The paper itself

Abstract

For individuals with hand motor function losses, rehabilitation is necessary for regaining strength and range of motion to accomplish daily activities. Typically within a clinical setting, repetitive strength-based and task-specific exercises are prescribed. However, these therapies are generally costly and non-portable, limiting patient accessibility and rendering patient compliance impractical. There is thus a clinical need for a system that is low-cost, portable, and accessible to improve patient compliance and outcomes. This work presents a proof-of-concept magnetically-controlled glove to provide targeted resistance-based rehabilitation for patients with hand motor impairments. The glove is inexpensive, customizable, and portable, allowing for use within a clinic and at home. Customizable resistance is achieved by electropermanent magnets (EPMs), which locally control magnetic attraction of the digits and produce rapid stiffness changes from magnetically induced jamming. Various rehabilitative exercises using the glove are demonstrated and the magnetic fields can be customized to provide necessary resistance.

Identifiers

PMID40018444
PMCPMC11864777

What OpenQuestion holds

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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.