UGC Approved Journal no 63975(19)

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Published in:

Volume 7 Issue 11
November-2020
eISSN: 2349-5162

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

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Published Paper ID:
JETIR2011064


Registration ID:
303203

Page Number

473-477

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Title

Analysis of Neurodevelopmental Disorder in Special Child from EEG using Machine Learning: a Review

Abstract

Angelman syndrome (AS) is a neurodevelopmental disorder caused by deletion on chromosome 15, uniparentaldisomy (UPD), imprinting defect, or UBE3A mutation. It is characterized by mental retardation with minimal speech and certain behavioral features. Assess the sleep quality and time in children with Angelman syndrome (AS) with sleep problems in using questionnaires and actigraphy, and in contrast to the Sleep settings in the typically developing (TD) children matched by age and gender. This study presents the largest objective set of sleep quality parameters in children with AS. Sleep quality is characterized by low efficiency and significant intra-and inter-individual variability, which requires further study. This paper, conducts the study about the Angelman syndrome (AS).

Key Words

Angelman syndrome, uniparentaldisomy, typically developing.

Cite This Article

"Analysis of Neurodevelopmental Disorder in Special Child from EEG using Machine Learning: a Review", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.7, Issue 11, page no.473-477, November-2020, Available :http://www.jetir.org/papers/JETIR2011064.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

"Analysis of Neurodevelopmental Disorder in Special Child from EEG using Machine Learning: a Review", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.7, Issue 11, page no. pp473-477, November-2020, Available at : http://www.jetir.org/papers/JETIR2011064.pdf

Publication Details

Published Paper ID: JETIR2011064
Registration ID: 303203
Published In: Volume 7 | Issue 11 | Year November-2020
DOI (Digital Object Identifier):
Page No: 473-477
Country: Pune, Maharashtra, India .
Area: Science & Technology
ISSN Number: 2349-5162
Publisher: IJ Publication


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