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Large-area MRI-compatible epidermal electronic interfaces for prosthetic control and cognitive monitoring

Authors :
Levi J. Hargrove
Jue Zhang
Aadeel Akhtar
Paul V. Braun
Zhaoqian Xie
Jesse Cornman
Matthew Moore
Limei Tian
Jinghua Li
John A. Rogers
Benjamin Zimmerman
Ryan J. Larsen
Yuhao Liu
Gabriele Gratton
Yonggang Huang
Xiaogang Guo
Jian Wu
Michael Fatina
Monica Fabiani
Jung Woo Lee
Ki Jun Yu
Brian Metzger
Jonathan A. Fan
Florin Dolcos
Yinji Ma
Yihui Zhang
Kyle E. Mathewson
Timothy Bretl
Subing Qu
Source :
Nature Biomedical Engineering. 3:194-205
Publication Year :
2019
Publisher :
Springer Science and Business Media LLC, 2019.

Abstract

Skin-interfaced medical devices are critically important for diagnosing disease, monitoring physiological health and establishing control interfaces with prosthetics, computer systems and wearable robotic devices. Skin-like epidermal electronic technologies can support these use cases in soft and ultrathin materials that conformally interface with the skin in a manner that is mechanically and thermally imperceptible. Nevertheless, schemes so far have limited the overall sizes of these devices to less than a few square centimetres. Here, we present materials, device structures, handling and mounting methods, and manufacturing approaches that enable epidermal electronic interfaces that are orders of magnitude larger than previously realized. As a proof-of-concept, we demonstrate devices for electrophysiological recordings that enable coverage of the full scalp and the full circumference of the forearm. Filamentary conductive architectures in open-network designs minimize radio frequency-induced eddy currents, forming the basis for structural and functional compatibility with magnetic resonance imaging. We demonstrate the use of the large-area interfaces for the multifunctional control of a transhumeral prosthesis by patients who have undergone targeted muscle-reinnervation surgery, in long-term electroencephalography, and in simultaneous electroencephalography and structural and functional magnetic resonance imaging.

Details

ISSN :
2157846X
Volume :
3
Database :
OpenAIRE
Journal :
Nature Biomedical Engineering
Accession number :
edsair.doi.dedup.....cb692a3dd3d938c1c64fc1568698d63c
Full Text :
https://doi.org/10.1038/s41551-019-0347-x