Soft, curved electrode systems capable of integration on the auricle as a persistent brain–computer interface [electronic resource].

Published:: Washington, D.C. : United States. Dept. of Energy. Office of Basic Energy Sciences, 2015.
Oak Ridge, Tenn. : Distributed by the Office of Scientific and Technical Information, U.S. Dept. of Energy
Physical Description:: pages 3,920-3,925 : digital, PDF file
Additional Creators:: University of Illinois at Urbana-Champaign, United States. Department of Energy. Office of Basic Energy Sciences, and United States. Department of Energy. Office of Scientific and Technical Information

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Summary:

Some recent advances in electrodes for noninvasive recording of electroencephalograms expand opportunities collecting such data for diagnosis of neurological disorders and brain–computer interfaces. Existing technologies, but, cannot be used effectively in continuous, uninterrupted modes for more than a few days due to irritation and irreversible degradation in the electrical and mechanical properties of the skin interface. We introduce a soft, foldable collection of electrodes in open, fractal mesh geometries that can mount directly and chronically on the complex surface topology of the auricle and the mastoid, to provide high-fidelity and long-term capture of electroencephalograms in ways that avoid any significant thermal, electrical, or mechanical loading of the skin. Experimental and computational studies establish the fundamental aspects of the bending and stretching mechanics that enable this type of intimate integration on the highly irregular and textured surfaces of the auricle. Furthermore, cell level tests and thermal imaging studies establish the biocompatibility and wearability of such systems, with examples of high-quality measurements over periods of 2 wk with devices that remain mounted throughout daily activities including vigorous exercise, swimming, sleeping, and bathing. Demonstrations include a text speller with a steady-state visually evoked potential-based brain–computer interface and elicitation of an event-related potential (P300 wave).

Report Numbers:

E 1.99:1356186

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Published through SciTech Connect.
03/16/2015.
Proceedings of the National Academy of Sciences of the United States of America 112 13 ISSN 0027-8424 AM
James J. S. Norton; Dong Sup Lee; Jung Woo Lee; Woosik Lee; Ohjin Kwon; Phillip Won; Sung-Young Jung; Huanyu Cheng; Jae-Woong Jeong; Abdullah Akce; Stephen Umunna; Ilyoun Na; Yong Ho Kwon; Xiao-Qi Wang; ZhuangJian Liu; Ungyu Paik; Yonggang Huang; Timothy Bretl; Woon-Hong Yeo; John A. Rogers.

Funding Information:

SC0005436

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