UGC Approved Journal no 63975(19)
New UGC Peer-Reviewed Rules

ISSN: 2349-5162 | ESTD Year : 2014
Volume 12 | Issue 9 | September 2025

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Published in:

Volume 6 Issue 2
February-2019
eISSN: 2349-5162

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

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Published Paper ID:
JETIR1902443


Registration ID:
197336

Page Number

358-361

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Title

Statistical Analysis Of the method to determine the neurological disorders through electrical signals of brain

Abstract

This paper talks about the phenomenon of recurrence and using this concept it proposes a novel and a very simple and user friendly method to diagnose the neurological disorders by using the EEG signals. The mathematical concept of recurrence forms the basis for the detection of neurological disorders and the tool used is MATLAB. Using MATLAB, an algorithm is designed which uses EEG signals as the input and uses the synchronizing patterns of EEG signals to determine various neurological disorders through graphs and recurrence plots.Only the statistical analysis of the proposed method has been shown in this paper

Key Words

EEG Signals, Recurrence, Order Recurrence Plot, Coupling Index, Signal Processing

Cite This Article

"Statistical Analysis Of the method to determine the neurological disorders through electrical signals of brain", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 2, page no.358-361, February-2019, Available :http://www.jetir.org/papers/JETIR1902443.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

"Statistical Analysis Of the method to determine the neurological disorders through electrical signals of brain", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 2, page no. pp358-361, February-2019, Available at : http://www.jetir.org/papers/JETIR1902443.pdf

Publication Details

Published Paper ID: JETIR1902443
Registration ID: 197336
Published In: Volume 6 | Issue 2 | Year February-2019
DOI (Digital Object Identifier):
Page No: 358-361
Country: -, -, - .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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