Brain-Computer Interfaces: An Evolution in Neurotechnology

Brain-Computer Interfaces (BCIs) are a rapidly developing technology that facilitates direct interaction between the human brain and outside systems. In this paper, there is a comprehensive review of BCI types, methods of signal acquisition such as EEG and ECoG, and the basic signal processing stages such as preprocessing, feature extraction, and classification. Medical, communication, entertainment, and cognitive applications are discussed with a focus on how BCIs can bring about revolutionary changes. Key challenges touched upon include noise, user heterogeneity, and ethics. The article concludes with a look back at upcoming imminent trends, such as AI merging and wearables BCIs, that will drive the future of neurotechnology.

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Publication Details

Journal
International Journal for Research in Applied Science and Engineering Technology
Published
2025-05-20
DOI
https://doi.org/10.22214/ijraset.2025.71124
Primary Topic
EEG and Brain-Computer Interfaces
Type
article
Field-Weighted Citation Impact
0.00
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article

Brain-Computer Interfaces: An Evolution in Neurotechnology

Talluri Mahalakshmi
International Journal for Research in Applied Science and Engineering Technology
EEG and Brain-Computer Interfaces
article

Brain-Computer Interfaces: An Evolution in Neurotechnology

Talluri Mahalakshmi
article en

Abstract

Brain-Computer Interfaces (BCIs) are a rapidly developing technology that facilitates direct interaction between the human brain and outside systems. In this paper, there is a comprehensive review of BCI types, methods of signal acquisition such as EEG and ECoG, and the basic signal processing stages such as preprocessing, feature extraction, and classification. Medical, communication, entertainment, and cognitive applications are discussed with a focus on how BCIs can bring about revolutionary changes. Key challenges touched upon include noise, user heterogeneity, and ethics. The article concludes with a look back at upcoming imminent trends, such as AI merging and wearables BCIs, that will drive the future of neurotechnology.

International Journal for Research in Applied Science and Engineering TechnologyVol. 13(5)
Openalex Percentile: Top 89%
EEG and Brain-Computer Interfaces
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