The DOI matches its Crossref record; 33 of the 33 references it cites were found in a registry or an index.
Unobtrusive ambulatory EEG using a smartphone and flexible printed electrodes around the ear
Open accessAbstract
This study presents first evidence that reliable EEG data can be recorded with a new cEEGrid electrode array, which consists of ten electrodes printed on flexible sheet and arranged in a c-shape to fit around the ear. Ten participants wore two cEEGrid systems for at least seven hours. Using a smartphone for stimulus delivery and signal acquisition, resting EEG and auditory oddball data were collected in the morning and in the afternoon six to seven hours apart. Analysis of resting EEG data confirmed well-known spectral differences between eyes open and eyes closed conditions. The ERP results confirmed the predicted condition effects with significantly larger P300 amplitudes for target compared to standard tones and a high test-retest reliability of the P300 amplitude (r > = .74). Moreover, a linear classifier trained on data from the morning session revealed similar performance in classification accuracy for the morning and the afternoon sessions (both > 70%). These findings demonstrate the feasibility of concealed and comfortable brain activity acquisition over many hours.
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Delorme, A., & Makeig, S. (2004) · Journal of Neuroscience Methods · doi:10.1016/j.jneumeth.2003.10.009 · Cited by 24,371
Updating P300: An integrative theory of P3a and P3b
Polich, J. (2007) · Clinical Neurophysiology · doi:10.1016/j.clinph.2007.04.019 · Cited by 7,919
Circular analysis in systems neuroscience: the dangers of double dipping
Kriegeskorte, N., Simmons, W. K., Bellgowan, P. S. F., & Baker, C. I. (2009) · Nature Neuroscience · doi:10.1038/nn.2303 · Cited by 2,696
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Mathôt, S., Schreij, D., & Theeuwes, J. (2012) · Behavior Research Methods · doi:10.3758/s13428-011-0168-7 · Cited by 2,586
Control of a two-dimensional movement signal by a noninvasive brain-computer interface in humans
Wolpaw, J. R., & McFarland, D. J. (2004) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0403504101 · Cited by 1,512
Dynamics of Active Sensing and perceptual selection
Schroeder, C. E., Wilson, D. A., Radman, T., Scharfman, H., & Lakatos, P. (2010) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2010.02.010 · Cited by 635
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Self-citationThe effects of electrode impedance on data quality and statistical significance in ERP recordings
Kappenman, E. S., & Luck, S. J. (2010) · Psychophysiology · doi:10.1111/j.1469-8986.2010.01009.x · Cited by 447
Towards adaptive classification for BCI
Shenoy, P., Krauledat, M., Blankertz, B., Rao, R. P. N., & Müller, K.-R. (2006) · Journal of Neural Engineering · doi:10.1088/1741-2560/3/1/r02 · Cited by 438
Better than random: A closer look on BCI results
Mueller-Putz, G., Scherer, R., Brunner, C., Leeb, R., & Pfurtscheller, G. (2008) · Infoscience (Ecole Polytechnique Fédérale de Lausanne) · Cited by 419
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Wu, H., Yang, G., Zhu, K., Liu, S., Guo, W., Jiang, Z., & Li, Z. (2021) · Advanced Science · doi:10.1002/advs.202001938 · Cited by 395
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Metadata
- Authors
- Debener, S., Emkes, R., De Vos, M., & Bleichner, M.
- Venue
- Scientific Reports
- Published
- 2015-11-17
- Volume
- 5
- Issue
- 1
- Pages
- 16743-16743
- ISSN
- 2045-2322 (ISSN-L)
- OpenAlex
- W2408915913
- Cited by
- 382
- References
- 33
- FWCI
- 15.30
- Type
- journal article
- Language
- en
- Open access
- gold
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Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.