Evidence map›Paper›PMID 37213243›Full record

ArticleFrontiers in robotics and AI2023

A length-adjustable vacuum-powered artificial muscle for wearable physiotherapy assistance in infants.

Samuel Dutra Gollob, Mijaíl Jaén Mendoza, Bon Ho Brandon Koo, Esteban Centeno, Emir A Vela, Ellen T Roche

Abstract read
In one paragraph

Article in Frontiers in robotics and AI, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

6 authors.

Samuel Dutra GollobDepartment of Mechanical Engineering, Massachusetts Institute of Technology, Cambridge, MA, United States.
Mijaíl Jaén MendozaDepartment of Mechanical Engineering, Universidad de Ingenieria y Tecnologia, Lima, Peru.
Bon Ho Brandon KooDepartment of Mechanical Engineering, Massachusetts Institute of Technology, Cambridge, MA, United States.
Esteban CentenoDepartment of Mechanical Engineering, Universidad de Ingenieria y Tecnologia, Lima, Peru.
Emir A VelaDepartment of Mechanical Engineering, Universidad de Ingenieria y Tecnologia, Lima, Peru.
Ellen T RocheDepartment of Mechanical Engineering, Massachusetts Institute of Technology, Cambridge, MA, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Soft pneumatic artificial muscles are increasingly popular in the field of soft robotics due to their light-weight, complex motions, and safe interfacing with humans. In this paper, we present a Vacuum-Powered Artificial Muscle (VPAM) with an adjustable operating length that offers adaptability throughout its use, particularly in settings with variable workspaces. To achieve the adjustable operating length, we designed the VPAM with a modular structure consisting of cells that can be clipped in a collapsed state and unclipped as desired. We then conducted a case study in infant physical therapy to demonstrate the capabilities of our actuator. We developed a dynamic model of the device and a model-informed open-loop control system, and validated their accuracy in a simulated patient setup. Our results showed that the VPAM maintains its performance as it grows. This is crucial in applications such as infant physical therapy where the device must adapt to the growth of the patient during a 6-month treatment regime without actuator replacement. The ability to adjust the length of the VPAM on demand offers a significant advantage over traditional fixed-length actuators, making it a promising solution for soft robotics. This actuator has potential for various applications that can leverage on demand expansion and shrinking, including exoskeletons, wearable devices, medical robots, and exploration robots.

Indexed as

adaptableartificial musclegrowingsoft roboticswearable

Identifiers

PMID37213243
PMCPMC10192875

What OpenQuestion holds

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LicenceCC BY
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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.