Classifying healthy children and children with attention deficit through features derived from sparse and nonnegative tensor factorization using event-related potential

Fengyu Cong, Anh Huy Phan, Heikki Lyytinen, Tapani Ristaniemi, Andrzej Cichocki

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

11 Citations (Scopus)

Abstract

In this study, we use features extracted by Nonnegative Tensor Factorization (NTF) from event-related potentials (ERPs) to discriminate healthy children and children with attention deficit (AD). The peak amplitude of an ERP has been extensively used to discriminate different groups of subjects for the clinical research. However, such discriminations sometimes fail because the peak amplitude may vary severely with the increased number of subjects and wider range of ages and it can be easily affected by many factors. This study formulates a framework, using NTF to extract features of the evoked brain activities from time-frequency represented ERPs. Through using the estimated features of a negative ERP-mismatch negativity, the correct rate on the recognition between health children and children with AD approaches to about 76%. However, the peak amplitude did not discriminate them. Hence, it is promising to apply NTF for diagnosing clinical children instead of measuring the peak amplitude.

Original languageEnglish
Title of host publicationLatent Variable Analysis and Signal Separation - 9th International Conference, LVA/ICA 2010, Proceedings
Pages620-628
Number of pages9
DOIs
Publication statusPublished - 2010
Externally publishedYes
Event9th International Conference on Latent Variable Analysis and Signal Separation, LVA/ICA 2010 - St. Malo, France
Duration: 27 Sep 201030 Sep 2010

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume6365 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference9th International Conference on Latent Variable Analysis and Signal Separation, LVA/ICA 2010
Country/TerritoryFrance
CitySt. Malo
Period27/09/1030/09/10

Keywords

  • children with attention deficit
  • classification
  • clinical
  • Diagnosis
  • eventrelated potential
  • mismatch negativity
  • nonnegative tensor factorization

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