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Cited by 533

The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.

Brain computer interfacing: Applications and challenges

Open access
Abdulkader, Sarah N., Atia, Ayman, Mostafa, Mostafa-Sami M.·2015·Egyptian Informatics Journal

Abstract

Brain computer interface technology represents a highly growing field of research with application systems. Its contributions in medical fields range from prevention to neuronal rehabilitation for serious injuries. Mind reading and remote communication have their unique fingerprint in numerous fields such as educational, self-regulation, production, marketing, security as well as games and entertainment. It creates a mutual understanding between users and the surrounding systems. This paper shows the application areas that could benefit from brain waves in facilitating or achieving their goals. We also discuss major usability and technical challenges that face brain signals utilization in various components of BCI system. Different solutions that aim to limit and decrease their effects have also been reviewed.

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Crossref · 10.1016/j.eij.2015.06.002

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Metadata

Authors
Abdulkader, S. N., Atia, A., & Mostafa, M.-S. M.
Venue
Egyptian Informatics Journal
Publisher
Elsevier BV
Published
2015-07
Volume
16
Issue
2
Pages
213-230
ISSN
1110-8665 (ISSN-L)
OpenAlex
W772526079
Cited by
533
References
6
FWCI
14.57
Type
journal article
Language
en
Open access
gold

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CoChat. (2026). Citation check: Brain computer interfacing: Applications and challenges. https://app.cochat.ai/papers/10.1016/j.eij.2015.06.002
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Abdulkader, S. N., Atia, A., & Mostafa, M.-S. M. (2015). Brain computer interfacing: Applications and challenges. Egyptian Informatics Journal. https://doi.org/10.1016/j.eij.2015.06.002

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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.