The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
Methods for artifact detection and removal from scalp EEG: A review
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Cites
Delorme, A., & Makeig, S. (2004) · Journal of Neuroscience Methods · doi:10.1016/j.jneumeth.2003.10.009 · Cited by 24,371
A Method for Removing Imaging Artifact from Continuous EEG Recorded during Functional MRI
Allen, P. J., Josephs, O., & Turner, R. (2000) · NeuroImage · doi:10.1006/nimg.2000.0599 · Cited by 1,301
The impact of epilepsy from the patient's perspective I. Descriptions and subjective perceptions
Fisher, R. S., Vickrey, B. G., Gibson, P., Hermann, B., Penovich, P., Scherer, A., & Walker, S. (2000) · Epilepsy Research · doi:10.1016/s0920-1211(00)00126-1 · Cited by 438
FORCe: Fully online and automated artifact removal for brain-computer interfacing
Daly, I., Scherer, R., Billinger, M., & Muller-Putz, G. (2015) · IEEE Transactions on Neural Systems and Rehabilitation Engineering · doi:10.1109/tnsre.2014.2346621 · Cited by 174
Cited by
EEG frequency bands in psychiatric disorders: a review of resting state studies
Newson, J. J., & Thiagarajan, T. C. (2019) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2018.00521 · Cited by 863
Chang, C.-Y., Hsu, S.-H., Pion-Tonachini, L., & Jung, T.-P. (2020) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2019.2930186 · Cited by 544
EEG-Based Emotion Recognition: A State-of-the-Art Review of Current Trends and Opportunities
Suhaimi, N. S., Mountstephens, J., & Teo, J. (2020) · Computational Intelligence and Neuroscience · doi:10.1155/2020/8875426 · Cited by 357
EEG-based brain–computer interfaces
McFarland, D. J., & Wolpaw, J. R. (2017) · Current Opinion in Biomedical Engineering · doi:10.1016/j.cobme.2017.11.004 · Cited by 283
A scoping review on the use of consumer-grade EEG devices for research
Sabio, J., Williams, N. S., McArthur, G. M., & Badcock, N. A. (2024) · PLOS ONE · doi:10.1371/journal.pone.0291186 · Cited by 98
Metadata
- Authors
- Islam, M. K., Rastegarnia, A., & Yang, Z.
- Venue
- Neurophysiologie Clinique/Clinical Neurophysiology
- Publisher
- Elsevier BV
- Published
- 2016-11
- Volume
- 46
- Issue
- 4-5
- Pages
- 287-305
- ISSN
- 0987-7053 (ISSN-L)
- OpenAlex
- W2534443592
- Cited by
- 457
- References
- 4
- FWCI
- 14.69
- Type
- journal article
- Language
- en
- Open access
- closed
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- The paper
- Islam, M. K., Rastegarnia, A., & Yang, Z. (2016). Methods for artifact detection and removal from scalp EEG: A review. Neurophysiologie Clinique/Clinical Neurophysiology. https://doi.org/10.1016/j.neucli.2016.07.002
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.
