UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
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Published in:

Volume 6 Issue 5
May-2019
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIRBV06086


Registration ID:
203417

Page Number

386-392

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Title

An Insight on Various Classification Techniques Employed in Processing of EEG Brain Signals

Authors

Abstract

Brain Computer interface relies heavily on the way the signals received from the brain are processed. There are numerous method that have been put to use for classification. In this work we present a review on the popularly used classification techniques. This work intends to present the salient features of the technique employed along with its limitation such that it helps the researchers as a guideline

Key Words

BCI, EEG, SSVEP-NIRS Hybrid BCI, EEG-EMG Hybrid BCI , EEG-EOG Hybrid BCI

Cite This Article

"An Insight on Various Classification Techniques Employed in Processing of EEG Brain Signals", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 5, page no.386-392, May-2019, Available :http://www.jetir.org/papers/JETIRBV06086.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"An Insight on Various Classification Techniques Employed in Processing of EEG Brain Signals", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 5, page no. pp386-392, May-2019, Available at : http://www.jetir.org/papers/JETIRBV06086.pdf

Publication Details

Published Paper ID: JETIRBV06086
Registration ID: 203417
Published In: Volume 6 | Issue 5 | Year May-2019
DOI (Digital Object Identifier):
Page No: 386-392
Country: -, -, - .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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