The DOI matches its Crossref record; 19 of the 19 references it cites were found in a registry or an index.
Bristle-sensors—low-cost flexible passive dry EEG electrodes for neurofeedback and BCI applications
Abstract
In this paper, we present a new, low-cost dry electrode for EEG that is made of flexible metal-coated polymer bristles. We examine various standard EEG paradigms, such as capturing occipital alpha rhythms, testing for event-related potentials in an auditory oddball paradigm and performing a sensory motor rhythm-based event-related (de-) synchronization paradigm to validate the performance of the novel electrodes in terms of signal quality. Our findings suggest that the dry electrodes that we developed result in high-quality EEG recordings and are thus suitable for a wide range of EEG studies and BCI applications. Furthermore, due to the flexibility of the novel electrodes, greater comfort is achieved in some subjects, this being essential for long-term use.
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Cites
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Keil, A., Debener, S., Gratton, G., Junghöfer, M., Kappenman, E. S., Luck, S. J., Luu, P., Miller, G. A., & Yee, C. M. (2014) · Psychophysiology · doi:10.1111/psyp.12147 · Cited by 699
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Kothe, C. A., & Makeig, S. (2013) · Journal of Neural Engineering · doi:10.1088/1741-2560/10/5/056014 · Cited by 412
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Metadata
- Authors
- Grozea, C., Voinescu, C. D., & Fazli, S.
- Venue
- Journal of Neural Engineering
- Publisher
- IOP Publishing
- Published
- 2011-03-24
- Volume
- 8
- Issue
- 2
- Pages
- 025008
- ISSN
- 1741-2552 (ISSN-L)
- 1741-2560
- OpenAlex
- W2092447967
- Cited by
- 256
- References
- 19
- FWCI
- 7.84
- Type
- journal article
- Language
- en
- Open access
- closed
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- Grozea, C., Voinescu, C. D., & Fazli, S. (2011). Bristle-sensors—low-cost flexible passive dry EEG electrodes for neurofeedback and BCI applications. Journal of Neural Engineering. https://doi.org/10.1088/1741-2560/8/2/025008
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
