UGC Approved Journal no 63975(19)

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

Volume 7 Issue 6
June-2020
eISSN: 2349-5162

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

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Published Paper ID:
JETIR2006583


Registration ID:
303277

Page Number

1769-1775

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Title

DYNAMIC CLASSIFICATION OF SLEEP STAGE: EEG BASED ML ACCURACY ENHANCEMENT

Abstract

Energy is single phenomenon that impacts the sleep quality of humans by manipulating its quality. The analysis of sleep study and its associated factors helps gathering the data about the sleep disorders in association with the PSG recordings. This work focuses on a methodology for study of wave bands from various dynamic sleep stages based on polysomnographic recordings (PSG) and associated solely EEG energy signals. EEG signals from Physionet-Sleep dataset is picked and utilized aiming to automated identification of five crucial sleeping stages. The initial steps include filtering of EEG signals to obtain five EEG rhythms & the calculated energy from each sub bands to precisely train typical classifiers.

Key Words

EEG, DCSS, Physionet Database, Dynamic Classification of sleeping stages, Energy.

Cite This Article

"DYNAMIC CLASSIFICATION OF SLEEP STAGE: EEG BASED ML ACCURACY ENHANCEMENT ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.7, Issue 6, page no.1769-1775, June-2020, Available :http://www.jetir.org/papers/JETIR2006583.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

"DYNAMIC CLASSIFICATION OF SLEEP STAGE: EEG BASED ML ACCURACY ENHANCEMENT ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.7, Issue 6, page no. pp1769-1775, June-2020, Available at : http://www.jetir.org/papers/JETIR2006583.pdf

Publication Details

Published Paper ID: JETIR2006583
Registration ID: 303277
Published In: Volume 7 | Issue 6 | Year June-2020
DOI (Digital Object Identifier): http://doi.one/10.1729/Journal.24933
Page No: 1769-1775
Country: Gorakhpur, Uttar Pradesh, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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