rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: EEG affective state profiling for understanding and analyzing children's brain development
  name:
    name part: Marini Othman
    role:
      role term: creator
  name:
    name part: International Islamic University Malaysia
    name part: Kulliyyah of Information and Communication Technology
  genre: Theses, IIUM local
  origin info:
    place:
      place term: my
    place:
      place term: Kuala Lumpur
    publisher: Kulliyyah of Information and Communication Technology, International Islamic University Malaysia
    date issued: 2014
  language:
    language term: eng
  physical description:
    extent: xx, 217 leaves : ill. ; 30cm.
  abstract: For the past 3 decades, the 'Theory of Mind' (ToM) seems to be the most established theory in explaining children with brain developmental disorder (BDD). The Theory of Mind is strongly linked to the cognitive perspective of emotion, where children with Autism Spectrum Disorder (ASD) are incapable of understanding the affective state of other people. This work focuses on understanding and analyzing children's brain development, specifically those with ASD prior to profiling their affective states. The electroencephalogram (EEG) appears to be the best candidate for investigating human's affective states due to its high temporal resolutions compared to fMRI and PET scans. This provides a motivation for proposing an EEG affective profiling system for the pre-screening of ASD. EEG data are collected from 30 typically developing children aged between 4-6 years during (a) resting state, (b) while watching emotionally related facial expressions and (c) during an executive function (EF) tasks. There are several challenges with the EEG affective profiling system for the purpose of pre-screening ASD identified in this thesis. Studies are heavily dependent on the qualitative or visual nature of the brain signals, rather than focusing on the quantitative features of the EEG. There is also a lack of EEG data corpus for analyzing children's affective states.The problem is further amplifiedby the need forthe design of algorithms indetectingaffective responses, where most researchers have neglected the possibility of incorporating recent breakthroughsfrom the field of psychology. The principal contributions of this thesis are: EEG experimental stimuli and experimental protocol based on ToM for eliciting children's affective responses, an EEG data corpus for the investigation of children's brain developmental disorder and multi-paradigm approach that integrates different statistical and computational methodsfor children's affective profiling. The multi-paradigm approach is divided i…
  note: by Marini Othman
  note: Thesis (Ph.D)--International Islamic University Malaysia, 2014.
  note: Includes bibliographical references (leaves 187-200)
  subject:
    geographic code: a-my---
  classification: RC386.6.E43
  identifier: http://studentrepo.iium.edu.my/handle/123456789/5346
  record info:
    record content source: UIAM
    record creation date: 150105
    language of cataloging:
      language term: eng