EEG Classification in Brain Computer Interface (BCI): A Pragmatic Appraisal Article Swipe
Brain computer interface (BCI) is one of the technologies growing at an exponential rate with its applications extended to medical and non-medical fields. EEG is widely used in BCI for detection and analysis of abnormalities of the brain. EEG is characterized by inherently high temporal resolution and precision, low spatial resolution and specificity plus contains artifacts and redundant or noise information both from the subject and equipment interferences. Thus, feature extraction is a critical issue in translation algorithm development for BCI. Above all, BCI still faces a lot challenges that results in performance variation across and even within subjects. Thus, this work provides a concise but all encompassing review of methods that have been adopted in the recent time for development of an EEG classification in BCI.
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Metadata
- Type
- article
- Language
- en
- Landing Page
- http://www.sapub.org/global/showpaperpdf.aspx?doi=10.5923/j.ajbe.20180801.01
- OA Status
- green
- Cited By
- 10
- References
- 44
- Related Works
- 20
- OpenAlex ID
- https://openalex.org/W2885544663
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W2885544663Canonical identifier for this work in OpenAlex
- Title
-
EEG Classification in Brain Computer Interface (BCI): A Pragmatic AppraisalWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2018Year of publication
- Publication date
-
2018-01-01Full publication date if available
- Authors
-
Bamidele Osalusi, Amole Abraham, David AborisadeList of authors in order
- Landing page
-
https://www.sapub.org/global/showpaperpdf.aspx?doi=10.5923/j.ajbe.20180801.01Publisher landing page
- Open access
-
YesWhether a free full text is available
- OA status
-
greenOpen access status per OpenAlex
- OA URL
-
https://www.sapub.org/global/showpaperpdf.aspx?doi=10.5923/j.ajbe.20180801.01Direct OA link when available
- Concepts
-
Brain–computer interface, Electroencephalography, Computer science, Interface (matter), Feature extraction, Artificial intelligence, Speech recognition, Pattern recognition (psychology), Psychology, Neuroscience, Parallel computing, Maximum bubble pressure method, BubbleTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
10Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 2, 2024: 1, 2023: 3, 2022: 1, 2021: 2Per-year citation counts (last 5 years)
- References (count)
-
44Number of works referenced by this work
- Related works (count)
-
20Other works algorithmically related by OpenAlex
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