Document Detail


Benefits of multi-domain feature of mismatch negativity extracted by non-negative tensor factorization from EEG collected by low-density array.
MedLine Citation:
PMID:  23186274     Owner:  NLM     Status:  In-Data-Review    
Abstract/OtherAbstract:
Through exploiting temporal, spectral, time-frequency representations, and spatial properties of mismatch negativity (MMN) simultaneously, this study extracts a multi-domain feature of MMN mainly using non-negative tensor factorization. In our experiment, the peak amplitude of MMN between children with reading disability and children with attention deficit was not significantly different, whereas the new feature of MMN significantly discriminated the two groups of children. This is because the feature was derived from multi-domain information with significant reduction of the heterogeneous effect of datasets.
Authors:
Fengyu Cong; Anh Huy Phan; Qibin Zhao; Tiina Huttunen-Scott; Jukka Kaartinen; Tapani Ristaniemi; Heikki Lyytinen; Andrzej Cichocki
Related Documents :
12410804 - Transforming growth factor-beta (tgf-beta) and tissue transglutaminase expression in th...
18510624 - Toxic megacolon in children with inflammatory bowel disease: clinical and radiographic ...
23390434 - Amantadine: a review of use in child and adolescent psychiatry.
18661294 - The intestinal microflora of childhood patients with indicated celiac disease.
16015624 - Medial portion of the cavernous sinus: quantitative analysis of the medial wall.
870134 - The management of ureteric reflux in children.
Publication Detail:
Type:  Journal Article    
Journal Detail:
Title:  International journal of neural systems     Volume:  22     ISSN:  0129-0657     ISO Abbreviation:  Int J Neural Syst     Publication Date:  2012 Dec 
Date Detail:
Created Date:  2012-11-28     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  9100527     Medline TA:  Int J Neural Syst     Country:  Singapore    
Other Details:
Languages:  eng     Pagination:  1250025     Citation Subset:  IM    
Affiliation:
Department of Mathematical Information Technology, University of Jyväskylä, Finland.
Export Citation:
APA/MLA Format     Download EndNote     Download BibTex
MeSH Terms
Descriptor/Qualifier:

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


Previous Document:  Analysis of absence seizure generation using EEG spatial-temporal regularity measures.
Next Document:  Novel consensus approaches to the reliable ranking of features for seabed imagery classification.