Evidence map›Paper›PMID 34442593›Full record

ArticleMicromachines2021

A Vacuum-Powered Artificial Muscle Designed for Infant Rehabilitation.

Mijaíl Jaén Mendoza, Samuel Dutra Gollob, Diego Lavado, Bon Ho Brandon Koo, Segundo Cruz, Ellen T Roche, Emir A Vela

Open access · goldAbstract read
In one paragraph

Article in Micromachines, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.1field-weighted citation impact, top 25% 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

3 citing papers in PubMed, 15 citations in OpenAlex.

  1. Article
  2. Article
  3. 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

7 authors at 3 institutions in 2 countries.

Mijaíl Jaén MendozaDepartment of Mechanical Engineering, Universidad de Ingenieria y Tecnologia-UTEC, Lima 15063, Peru.
Samuel Dutra GollobDepartment of Mechanical Engineering, Massachusetts Institute of Technology, Cambridge, MA 02139, USA.
Diego LavadoDepartment of Mechanical Engineering, Universidad de Ingenieria y Tecnologia-UTEC, Lima 15063, Peru.ORCID 0000-0001-5940-5617
Bon Ho Brandon KooDepartment of Mechanical Engineering, Massachusetts Institute of Technology, Cambridge, MA 02139, USA.
Segundo CruzInstituto Nacional de Salud del Niño de San Borja, Lima 15037, Peru.ORCID 0000-0001-5249-2383
Ellen T RocheDepartment of Mechanical Engineering, Massachusetts Institute of Technology, Cambridge, MA 02139, USA.ORCID 0000-0002-8952-2993
Emir A VelaDepartment of Mechanical Engineering, Universidad de Ingenieria y Tecnologia-UTEC, Lima 15063, Peru.
Massachusetts Institute of Technology · USUniversidad de Ingeniería y Tecnología · PEInstituto Nacional de Salud del Niño · PE

Funding

INTERNATIONAL SCIENCE AND TECHNOLOGY INITIATIVES MISTI MIT-UTEC 2020UTEC Research Department Seed Fund 2021
6 · The paper itself

Abstract

The majority of soft pneumatic actuators for rehabilitation exercises have been designed for adult users. Specifically, there is a paucity of soft rehabilitative devices designed for infants with upper and lower limb motor disabilities. We present a low-profile vacuum-powered artificial muscle (LP-VPAM) with dimensions suitable for infants. The actuator produced a maximum force of 26 N at vacuum pressures of -40 kPa. When implemented in an experimental model of an infant leg in an antagonistic-agonist configuration to measure resultant knee flexion, the actuator generated knee flexion angles of 43° and 61° in the prone and side-lying position, respectively.

Indexed as

infant rehabilitationpneumatic artificial musclesvacuum-powered actuators

Identifiers

PMID34442593
PMCPMC8400328
OpenAlexW3194122024

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.