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Sleep EEG Derived From Behind-the-Ear Electrodes (cEEGrid) Compared to Standard Polysomnography: A Proof of Concept Study
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“So far, early validation studies have shown feasible and accessible ways to acquire sleep data in newer montages and a moderate range of agreement on the group level for all sleep staging combined based on blinded rated AASM scoring [38].”
From Clinician-Focused Overview and Developments in Polysomnography (2020) · cites this paper as [38]
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Medic, G., Wille, M., & Hemels, M. (2017) · Nature and Science of Sleep · doi:10.2147/nss.s134864 · Cited by 1,776
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Cited by
End-to-end design of wearable sensors
Ates, H. C., Nguyen, P. Q., Gonzalez-Macia, L., Morales-Narváez, E., Güder, F., Collins, J. J., & Dincer, C. (2022) · Nature Reviews Materials · doi:10.1038/s41578-022-00460-x · Cited by 1,306
Arnal, P. J., Thorey, V., Debellemaniere, E., Ballard, M. E., Bou Hernandez, A., Guillot, A., Jourde, H., Harris, M., Guillard, M., Van Beers, P., et al. (2020) · SLEEP · doi:10.1093/sleep/zsaa097 · Cited by 394
Recent advances in wearable sensors and portable electronics for sleep monitoring
Kwon, S., Kim, H., & Yeo, W.-H. (2021) · iScience · doi:10.1016/j.isci.2021.102461 · Cited by 209
Clinician-Focused Overview and Developments in Polysomnography
Markun, L. C., & Sampat, A. (2020) · Current Sleep Medicine Reports · doi:10.1007/s40675-020-00197-5 · Cited by 136
A Review of Recurrent Neural Network-Based Methods in Computational Physiology
Mao, S., & Sejdić, E. (2023) · IEEE Transactions on Neural Networks and Learning Systems · doi:10.1109/tnnls.2022.3145365 · Cited by 128
Metadata
- Authors
- Sterr, A., Ebajemito, J. K., Mikkelsen, K. B., Bonmati-Carrion, M. A., Santhi, N., della Monica, C., Grainger, L., Atzori, G., Revell, V., Debener, S., Dijk, D.-J., & DeVos, M.
- Venue
- Frontiers in Human Neuroscience
- Publisher
- Frontiers Media SA
- Published
- 2018-11-26
- Volume
- 12
- ISSN
- 1662-5161
- Cited by
- 89
- References
- 2
- Funders
- Engineering and Physical Sciences Research Council (EP/K503939/1)
- Wellcome Trust (098461/Z/12/Z)
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- CoChat. (2026). Citation check: Sleep EEG Derived From Behind-the-Ear Electrodes (cEEGrid) Compared to Standard Polysomnography: A Proof of Concept Study. https://app.cochat.ai/papers/10.3389/fnhum.2018.00452
- The paper
- Sterr, A., Ebajemito, J. K., Mikkelsen, K. B., Bonmati-Carrion, M. A., Santhi, N., della Monica, C., Grainger, L., Atzori, G., Revell, V., Debener, S., Dijk, D.-J., & DeVos, M. (2018). Sleep EEG Derived From Behind-the-Ear Electrodes (cEEGrid) Compared to Standard Polysomnography: A Proof of Concept Study. Frontiers in Human Neuroscience. https://doi.org/10.3389/fnhum.2018.00452
Data sources
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.
