Evidence map›Paper›PMID 30921360›Full record

Trial reportPloS one2019

Low-cost sensor-integrated 3D-printed personalized prosthetic hands for children with amniotic band syndrome: A case study in sensing pressure distribution on an anatomical human-machine interface (AHMI) using 3D-printed conformal electrode arrays.

Yuxin Tong, Ezgi Kucukdeger, Justin Halper, Ellen Cesewski, Elena Karakozoff, Alexander P Haring, David McIlvain, Manjot Singh, Nikita Khandelwal, Alex Meholic and 3 more

Open access · goldAbstract readClinical Trial
In one paragraph

Trial report in PloS one, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
2.2field-weighted citation impact, top 13% 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

4 citing papers in PubMed, 34 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Review
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

13 authors at 1 institution in 1 country.

Yuxin TongDepartment of Industrial and Systems Engineering, Virginia Tech, Blacksburg, Virginia, United States of America.
Ezgi KucukdegerDepartment of Industrial and Systems Engineering, Virginia Tech, Blacksburg, Virginia, United States of America.
Justin HalperDepartment of Industrial and Systems Engineering, Virginia Tech, Blacksburg, Virginia, United States of America.
Ellen CesewskiDepartment of Materials Science and Engineering, Virginia Tech, Blacksburg, Virginia, United States of America.
Elena KarakozoffDepartment of Industrial and Systems Engineering, Virginia Tech, Blacksburg, Virginia, United States of America.
Alexander P HaringMacromolecules Innovation Institute, Virginia Tech, Blacksburg, Virginia, United States of America.
David McIlvainDepartment of Industrial and Systems Engineering, Virginia Tech, Blacksburg, Virginia, United States of America.
Manjot SinghDepartment of Industrial and Systems Engineering, Virginia Tech, Blacksburg, Virginia, United States of America.
Nikita KhandelwalDepartment of Industrial and Systems Engineering, Virginia Tech, Blacksburg, Virginia, United States of America.
Alex MeholicDepartment of Industrial and Systems Engineering, Virginia Tech, Blacksburg, Virginia, United States of America.
Sahil LaheriSchool of Neuroscience, Virginia Tech, Blacksburg, Virginia, United States of America.
Akshay SharmaSchool of Architecture + Design, Virginia Tech, Blacksburg, Virginia, United States of America.
Blake N JohnsonDepartment of Industrial and Systems Engineering, Virginia Tech, Blacksburg, Virginia, United States of America.ORCID 0000-0003-4668-2011
Virginia Tech · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Interfacing anatomically conformal electronic components, such as sensors, with biology is central to the creation of next-generation wearable systems for health care and human augmentation applications. Thus, there is a need to establish computer-aided design and manufacturing methods for producing personalized anatomically conformal systems, such as wearable devices and human-machine interfaces (HMIs). Here, we show that a three-dimensional (3D) scanning and 3D printing process enabled the design and fabrication of a sensor-integrated anatomical human-machine interface (AHMI) in the form of personalized prosthetic hands that contain anatomically conformal electrode arrays for children affected by amniotic band syndrome, a common birth defect. A methodology for identifying optimal scanning parameters was identified based on local and global metrics of registered point cloud data quality. This method identified an optimal rotational angle step size between adjacent 3D scans. The sensitivity of the optimization process to variations in organic shape (i.e., geometry) was examined by testing other anatomical structures, including a foot, an ear, and a porcine kidney. We found that personalization of the prosthetic interface increased the tissue-prosthesis contact area by 408% relative to the non-personalized devices. Conformal 3D printing of carbon nanotube-based polymer inks across the personalized AHMI facilitated the integration of electronic components, specifically, conformal sensor arrays for measuring the pressure distribution across the AHMI (i.e., the tissue-prosthesis interface). We found that the pressure across the AHMI exhibited a non-uniform distribution and became redistributed upon activation of the prosthetic hand's grasping action. Overall, this work shows that the integration of 3D scanning and 3D printing processes offers the ability to design and fabricate wearable systems that contain sensor-integrated AHMIs.

Indexed as

Amniotic Band SyndromeArtificial LimbsPrecision MedicinePrinting, Three-DimensionalUser-Computer InterfaceWearable Electronic DevicesChildHumansMale

Identifiers

PMID30921360
PMCPMC6438526
OpenAlexW2928323355

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.