Record Details

Recurrence Quantification Analysis of EEG signals for Children with ASD

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Title Recurrence Quantification Analysis of EEG signals for Children with ASD
 
Creator Menaka, R
Aarthy, M Thanga
Chavan, Renuka Mahadev
Perumal, R C
Menon, Mahima S
 
Subject Autism Spectrum Disorder
Auditory/visual
Distance metric
Electroencephalogram
Fixed amount of nearest neighbor
 
Description 438-448
The present study aims at identifying the brain response for auditory/visual stimuli in typically developing (TD) and children with autism through electroencephalography (EEG). Early diagnoses do help in customized training and progressing the children in regular stream. To reveal the underlying brain dynamics, non-linear analysis was employed. In the current study, Recurrent Quantification Analysis (RQA) with varying parameters was analyzed. For better information retrieval, cosine distance metric is additionally considered for analysis and compared with other distance metrics in RQA. Each computational combination of RQA is measured and the responding channels were analyzed and discussed. It was observed that the FAN neighborhood with cosine distance parameters was able to discriminate between ASD and TD prominently.
 
Date 2021-07-12T11:29:25Z
2021-07-12T11:29:25Z
2021-05
 
Type Article
 
Identifier 0975-1084 (Online); 0022-4456 (Print)
http://nopr.niscair.res.in/handle/123456789/57697
 
Language en
 
Publisher NISCAIR-CSIR, India
 
Source JSIR Vol.80(05) [May 2021]