UGC Approved Journal no 63975(19)

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

Volume 7 Issue 8
August-2020
eISSN: 2349-5162

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

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Published Paper ID:
JETIR2008213


Registration ID:
236254

Page Number

1644-1647

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Title

Seizure Onset Detection and Prediction using EEG Data

Abstract

Artificial Intelligence (AI) deals with programming systems to take decisions on their own. The use of Machine Learning (ML) concepts in giving systems to learn an algorithm and make corrections by training itself is an important tool for human beings, as it removes the possibility of writing programs manually for every probable iteration of any functionality. This ability is used as an essential way of predicting and detecting the onset of seizure with the help of Electroencephalogram (EEG) data. The system is provided with the data and, as it gains experience, the model can easily detect and give an accurate prediction of the onset of seizure before the actual seizure attack and displays on the LCD screen.This system is patient-independent.

Key Words

EEG, neural network, seizure, epilepsy

Cite This Article

"Seizure Onset Detection and Prediction using EEG Data", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.7, Issue 8, page no.1644-1647, August-2020, Available :http://www.jetir.org/papers/JETIR2008213.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

"Seizure Onset Detection and Prediction using EEG Data", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.7, Issue 8, page no. pp1644-1647, August-2020, Available at : http://www.jetir.org/papers/JETIR2008213.pdf

Publication Details

Published Paper ID: JETIR2008213
Registration ID: 236254
Published In: Volume 7 | Issue 8 | Year August-2020
DOI (Digital Object Identifier):
Page No: 1644-1647
Country: BANGALORE, Karnataka, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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