UGC Approved Journal no 63975(19)

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

Volume 6 Issue 12
December-2019
eISSN: 2349-5162

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

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Published Paper ID:
JETIR1912094


Registration ID:
228428

Page Number

697-700

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Title

COLLECTIVE ELECTRO ENCEPHALO GRAPH SIGNALS BY MEANS OF WAVELET TRANSFORMS

Abstract

This examination portrays the utilization of back spread Neural Network as an order and Discrete Wavelet Transformation for highlight extraction by taking vitality esteems on each sub-band of the Electro Encephalo Graph (EEG) signal wave. The reason for this examination was to distinguish the EEG signal utilized in the cursor development. The point of this investigation was to give new correspondence and control alternatives for individuals with serious engine inability. The information utilized are EEG information got from BCI rivalry 2003 (BCI Competition 2003). This information contains class 0 information (for upward cursor development) and class 1 (for descending cursor development). Dynamic is done in two phases. In the principal organize, the vitality esteems in each discrete wavelet sub-band are utilized to extricate highlights of the EEG signal information. This element is as the contribution on back engendering Neural Network. The subsequent stage is distinguishing process into two classes (class 0 and class 1) of EEG signal information records. There are 260 preparing information records of EEG signs and 293 of the EEG signal information document testing, so the all-out is 553 information records of EEG signals.

Key Words

BCI, Wavelet Transform, EEG, DWT

Cite This Article

"COLLECTIVE ELECTRO ENCEPHALO GRAPH SIGNALS BY MEANS OF WAVELET TRANSFORMS", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 12, page no.697-700, December-2019, Available :http://www.jetir.org/papers/JETIR1912094.pdf

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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

"COLLECTIVE ELECTRO ENCEPHALO GRAPH SIGNALS BY MEANS OF WAVELET TRANSFORMS", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 12, page no. pp697-700, December-2019, Available at : http://www.jetir.org/papers/JETIR1912094.pdf

Publication Details

Published Paper ID: JETIR1912094
Registration ID: 228428
Published In: Volume 6 | Issue 12 | Year December-2019
DOI (Digital Object Identifier):
Page No: 697-700
Country: -, -, - .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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