| Literature DB >> 25775550 |
James J S Norton1, Dong Sup Lee2, Jung Woo Lee3, Woosik Lee4, Ohjin Kwon4, Phillip Won5, Sung-Young Jung6, Huanyu Cheng7, Jae-Woong Jeong8, Abdullah Akce9, Stephen Umunna10, Ilyoun Na11, Yong Ho Kwon5, Xiao-Qi Wang12, ZhuangJian Liu13, Ungyu Paik14, Yonggang Huang7, Timothy Bretl15, Woon-Hong Yeo16, John A Rogers17.
Abstract
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, however, 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. Here 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. 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).Entities:
Keywords: auricle integration; brain–computer interface; soft electronics; text speller
Mesh:
Year: 2015 PMID: 25775550 PMCID: PMC4386388 DOI: 10.1073/pnas.1424875112
Source DB: PubMed Journal: Proc Natl Acad Sci U S A ISSN: 0027-8424 Impact factor: 11.205