An empirical survey of electroencephalographybased brain-computer interfaces

• Autorzy: Wankhade Megha M. , Chorage Suvarna S.

Identyfikatory

DOI

10.1515/bams-2019-0053

• Języki publikacji: EN

Abstrakty

EN

Objectives: The Electroencephalogram (EEG) signal is modified using the Motor Imagery (MI) and it is utilized for patients with high motor impairments. Hence, the direct relationship between the computer and brain is termed as an EEG-based brain-computer interface (BCI). The objective of this survey is to presents an analysis of the existing distinct BCIs based on EEG. Methods: This survey provides a detailed review of more than 60 research papers presenting the BCI-based EEG, like motor imagery-based techniques, spatial filtering-based techniques, Steady-State Visual Evoked Potential (SSVEP)- based techniques, machine learning-based techniques, Event-Related Potential (ERP)-based techniques, and online EEG-based techniques. Subsequently, the research gaps and issues of several EEG-based BCI systems are adopted to help the researchers for better future scope. Results: An elaborative analyses as well as discussion have been provided by concerning the parameters, like evaluation metrics, year of publication, accuracy, implementation tool, and utilized datasets obtained by various techniques. Conclusions: This survey paper exposes research topics on BCI-based EEG, which helps the researchers and scholars, who are interested in this domain.

Słowa kluczowe

EN

brain-computer interface; electroencephalography; event-related potential; machine learning; motor-imagery classification

• Wydawca: Uniwersytet Jagielloński - Collegium Medicum ; Index Copernicus Sp. z o.o.
• Czasopismo: Bio-Algorithms and Med-Systems
• Rocznik: 2020
• Tom: Vol. 16, no. 4
• Strony: art. no. 20190053
• Opis fizyczny: Bibliogr. 65 poz., rys., tab.

Twórcy

autor

Wankhade Megha M.

• Research Scholar, Dept. of Electronics &Telecommunication Engineering, AISSMS Institute of Information Technology, Pune 411001, India
• Dept. of Electronics & Telecommunication Engineering, Sinhgad College of Engineering, Affiliated to S.P. Pune Universit, Pune 411001, India

autor

Chorage Suvarna S.

• Dept. of Electronics & Telecommunication Engineering, Bharati Vidyapeeth’s College of Engineering for Women, Pune 411043, India

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Uwagi

Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2021).