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

Simple item page
dc.contributor.authorTong, Yuxinen
dc.contributor.authorKucukdeger, Ezgien
dc.contributor.authorHalper, Justinen
dc.contributor.authorCesewski, Ellenen
dc.contributor.authorKarakozoff, Elenaen
dc.contributor.authorHaring, Alexander P.en
dc.contributor.authorMcIlvain, Daviden
dc.contributor.authorSingh, Manjoten
dc.contributor.authorKhandelwal, Nikitaen
dc.contributor.authorMeholic, Alexen
dc.contributor.authorLaheri, Sahilen
dc.contributor.authorSharma, Akshayen
dc.contributor.authorJohnson, Blake N.en
dc.contributor.departmentIndustrial and Systems Engineeringen
dc.date.accessioned2019-05-30T14:34:27Zen
dc.date.available2019-05-30T14:34:27Zen
dc.date.issued2019en
dc.description.abstractInterfacing 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.en
dc.description.notesBNJ is grateful for the generous support of the National Science Foundation (DUE-1644138) and the Virginia Tech Student Engineers' Council (SEC-2018). BNJ and AS are grateful for the generous support of the Virginia Tech Institute for Creativity, Arts, and Technology (ICAT-2018). All funding sources had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript. There was no additional external funding received from this study.en
dc.description.sponsorshipNational Science Foundation [DUE-1644138]; Virginia Tech Student Engineers' Council [SEC-2018]; Virginia Tech Institute for Creativity, Arts, and Technology (ICAT-2018)en
dc.format.mimetypeapplication/pdfen
dc.identifier.doihttps://doi.org/10.1371/journal.pone.0214120en
dc.identifier.eissn1932-6203en
dc.identifier.issue3en
dc.identifier.othere0214120en
dc.identifier.pmid30921360en
dc.identifier.urihttp://hdl.handle.net/10919/89638en
dc.identifier.volume14en
dc.language.isoenen
dc.publisherPLOSen
dc.rightsCreative Commons Attribution 4.0 Internationalen
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en
dc.titleLow-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 arraysen
dc.title.serialPLOS ONEen
dc.typeArticle - Refereeden
dc.type.dcmitypeTexten
dc.type.dcmitypeStillImageen

Files

Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
journal.pone.0214120.pdf
Size:
3.28 MB
Format:
Adobe Portable Document Format
Description:
Download

Collections

Scholarly Works, Industrial and Systems Engineering
Open Access Subvention Fund Articles
Scholarly Works, Macromolecules Innovation Institute (MII)
Scholarly Works, Materials Science and Engineering (MSE)
Scholarly Works, School of Architecture + Design
Strategic Growth Area: Creativity and Innovation (C&I)