Non-invasive on-skin sensors for brain machine interfaces with epitaxial graphene.

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Bibliographic Details
Title: Non-invasive on-skin sensors for brain machine interfaces with epitaxial graphene.
Authors: Faisal SN; School of Electrical and Data Engineering, Faculty of Engineering and Information Technology, University of Technology Sydney, Ultimo, NSW, 2007, Australia., Amjadipour M; School of Electrical and Data Engineering, Faculty of Engineering and Information Technology, University of Technology Sydney, Ultimo, NSW, 2007, Australia., Izzo K; School of Electrical and Data Engineering, Faculty of Engineering and Information Technology, University of Technology Sydney, Ultimo, NSW, 2007, Australia., Singer JA; School of Electrical and Data Engineering, Faculty of Engineering and Information Technology, University of Technology Sydney, Ultimo, NSW, 2007, Australia., Bendavid A; CSIRO Manufacturing, 36 Bradfield Road, Lindfield, NSW 2070, Australia., Lin CT; Australian Artificial Intelligence Institute, FEIT, University of Technology Sydney, Ultimo, NSW 2007, Australia., Iacopi F; School of Electrical and Data Engineering, Faculty of Engineering and Information Technology, University of Technology Sydney, Ultimo, NSW, 2007, Australia.; Australian Research Council Centre of Excellence for Transformative Meta-Optical Systems, University of Technology Sydney, Ultimo, NSW 2007, Australia.
Source: Journal of neural engineering [J Neural Eng] 2021 Dec 23; Vol. 18 (6). Date of Electronic Publication: 2021 Dec 23.
Publication Type: Journal Article; Research Support, Non-U.S. Gov't
Journal Info: Publisher: Institute of Physics Pub Country of Publication: England NLM ID: 101217933 Publication Model: Electronic Cited Medium: Internet ISSN: 1741-2552 (Electronic) Linking ISSN: 17412552 NLM ISO Abbreviation: J Neural Eng Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1741-2552
DOI:10.1088/1741-2552/ac4085