The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
Noninvasive Neural Prostheses Using Mobile and Wireless EEG
Abstract
Neural prosthetic technologies have helped many patients by restoring vision, hearing, or movement and relieving chronic pain or neurological disorders. While most neural prosthetic systems to date have used invasive or implantable devices for patients with inoperative or malfunctioning external body parts or internal organs, a much larger population of “healthy” people who suffer episodic or progressive cognitive impairments in daily life can benefit from noninvasive neural prostheses. For example, reduced alertness, lack of attention, or poor decision-making during monotonous, routine tasks can have catastrophic consequences. This study proposes a noninvasive mobile prosthetic platform for continuously monitoring high-temporal resolution brain dynamics without requiring application of conductive gels on the scalp. The proposed system features dry microelectromechanical system electroencephalography sensors, low-power signal acquisition, amplification and digitization, wireless telemetry, online artifact cancellation, and signal processing. Its implications for neural prostheses are examined in two sample studies: 1) cognitive-state monitoring of participants performing realistic driving tasks in the virtual-reality-based dynamic driving simulator and 2) the neural correlates of motion sickness in driving. The experimental results of these studies provide new insights into the understanding of complex brain functions of participants actively performing ordinary tasks in natural body positions and situations within real operational environments.
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Cites
Neural Networks for Pattern Recognition
Bishop, C. M. (1995) · doi:10.1093/oso/9780198538493.001.0001 · Cited by 12,287
An Information-Maximization Approach to Blind Separation and Blind Deconvolution
Bell, A. J., & Sejnowski, T. J. (1995) · Neural Computation · doi:10.1162/neco.1995.7.6.1129 · Cited by 8,986
Simulator Sickness Questionnaire: An Enhanced Method for Quantifying Simulator Sickness
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Navarro, X., Krueger, T. B., Lago, N., Micera, S., Stieglitz, T., & Dario, P. (2005) · Journal of the Peripheral Nervous System · doi:10.1111/j.1085-9489.2005.10303.x · Cited by 845 · cited 1×
“During the current decade, hundreds of thousands of patients have already been helped by neuroprosthetic technologies that restore vision [1], hearing [2] or movement [ 3 ] and relieve chronic pain or neurological disorders [4].”
Background
Cited by
Visual and Auditory Brain–Computer Interfaces
Gao, S., Wang, Y., Gao, X., & Hong, B. (2014) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2014.2300164 · Cited by 449
Wearable, Wireless EEG Solutions in Daily Life Applications: What are we Missing?
Mihajlovic, V., Grundlehner, B., Vullers, R., & Penders, J. (2015) · IEEE Journal of Biomedical and Health Informatics · doi:10.1109/jbhi.2014.2328317 · Cited by 289
Hassan, A. R., & Bhuiyan, M. I. H. (2016) · Biomedical Signal Processing and Control · doi:10.1016/j.bspc.2015.09.002 · Cited by 273
Kam, J. W. Y., Griffin, S., Shen, A., Patel, S., Hinrichs, H., Heinze, H.-J., Deouell, L. Y., & Knight, R. T. (2019) · NeuroImage · doi:10.1016/j.neuroimage.2018.09.012 · Cited by 188
Lin, C.-T., Ko, L.-W., Chang, M.-H., Duann, J.-R., Chen, J.-Y., Su, T.-P., & Jung, T.-P. (2010) · Gerontology · doi:10.1159/000230807 · Cited by 133
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Metadata
- Authors
- Lin, C.-T., Ko, L.-W., Chiou, J.-C., Duann, J.-R., Huang, R.-S., Liang, S.-F., Chiu, T.-W., & Jung, T.-P.
- Venue
- Proceedings of the IEEE
- Published
- 2008-07
- Volume
- 96
- Issue
- 7
- Pages
- 1167-1183
- ISSN
- 0018-9219 (ISSN-L)
- 1558-2256
- OpenAlex
- W2033605014
- Cited by
- 160
- References
- 4
- FWCI
- 5.84
- Type
- journal article
- Language
- en
- Open access
- closed
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- Lin, C.-T., Ko, L.-W., Chiou, J.-C., Duann, J.-R., Huang, R.-S., Liang, S.-F., Chiu, T.-W., & Jung, T.-P. (2008). Noninvasive Neural Prostheses Using Mobile and Wireless EEG. Proceedings of the IEEE. https://doi.org/10.1109/jproc.2008.922561
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