Supporting data for "3D Printed Deformable Sensors"
收藏DataCite Commons2022-03-08 更新2025-04-09 收录
下载链接:
http://hdl.handle.net/11299/212709
下载链接
链接失效反馈官方服务:
资源简介:
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.
提供机构:
Data Repository for the University of Minnesota (DRUM)
创建时间:
2020-05-20



