UGC Approved Journal no 63975(19)

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Published in:

Volume 6 Issue 4
April-2019
eISSN: 2349-5162

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

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Published Paper ID:
JETIR1904607


Registration ID:
197673

Page Number

34-37

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Title

EEG signal based seizure classification using key point based LBP: A review

Abstract

Epilepsy is a brain disorder, which can affect any person at any age. It is characterized by recurrent convulsions over a time period. Epilepsy and seizure disorders are not the same; in other words all the seizures are not epileptic fits. Epilepsy is characterized by unprovoked seizures due the involvement of the central nervous system. It is due to the process of ‘epileptogenesis’ where normal neuronal network abruptly turns into a hyper-excitable network, affecting mostly the cerebral cortex. It is therefore highly unpredictable and its risk is higher. Other than this non-epileptic seizure disorders could be due to several measurable causes, such as stroke, dementia, head injury, brain infections, congenital birth defects, birth-related brain injuries, tumors and other space occupying lesions. For all these types of defects preventive measures can be adopted according to the various causes. Diagnosis of epilepsy based on the visual inspection of EEG signals can be slow and inefficient and may take a long time, especially for long-duration EEG signals. The advanced signal processing technique based methods may be more suitable for fast, reliable and automatic diagnosis of epilepsy from EEG signals. There has been a lot of work done using various signal processing techniques in order to determine features for analysis, classification, and detection of epileptic seizures from EEG signals. In this paper will give a review about the epileptic and non epileptic seizure classification using key point based Local Binary Pattern (LBP) of EEG signals to get more accurate results than the previous results.

Key Words

EEG, Epilepsy, local binary pattern, SIFT.

Cite This Article

"EEG signal based seizure classification using key point based LBP: A review", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 4, page no.34-37, April-2019, Available :http://www.jetir.org/papers/JETIR1904607.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

"EEG signal based seizure classification using key point based LBP: A review", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 4, page no. pp34-37, April-2019, Available at : http://www.jetir.org/papers/JETIR1904607.pdf

Publication Details

Published Paper ID: JETIR1904607
Registration ID: 197673
Published In: Volume 6 | Issue 4 | Year April-2019
DOI (Digital Object Identifier):
Page No: 34-37
Country: Nagpur, Maharashtra, India .
Area: Science & Technology
ISSN Number: 2349-5162
Publisher: IJ Publication


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