Supporting data for "3D Printed Deformable Sensors"



The data set includes the experimental data and the corresponding code files supporting the results reported in Zhijie Zhu; Hyun Soo Park; Michael C. McAlpine. 3D Printed Deformable Sensors. Sci. Adv., 2020, DOI: 10.1126/sciadv.aba5575. The ability to directly print compliant biomedical devices on live human organs could benefit patient monitoring and wound treatment, which requires the 3D printer to adapt to the various deformations of the biological surface. We developed an in situ 3D printing system that estimates the motion and deformation of the target surface to adapt the toolpath in real time. With this printing system, a hydrogel-based sensor was printed on a porcine lung under respiration-induced deformation. The sensor was compliant to the tissue surface and provided continuous spatial mapping of deformation via electrical impedance tomography. This adaptive 3D printing approach may enhance robot-assisted medical treatments with additive manufacturing capabilities, enabling autonomous and direct printing of wearable electronics and biological materials on and inside the human body.

Full description in the file "ZhuReadme.txt".

Funding information
Sponsorship: National Institutes of Health, Grant 1DP2EB020537; Medtronic; The graduate school of the University of Minnesota, 2019-20 Doctoral Dissertation Fellowship
Date made available2020
PublisherData Repository for the University of Minnesota
Date of data productionApr 1 2019 - Apr 1 2020

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