Use of information entropy measures of sitting postural sway to quantify developmental delay in infants.

Background: By quantifying the information entropy of postural sway data, the complexity of the postural movement of different populations can be assessed, giving insight into pathologic motor control functioning.Methods: In this study, developmental delay of motor control function in infants was as...

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Publicado en:Journal of NeuroEngineering & Rehabilitation (JNER) Vol. 6; pp. 34 - 48
Autores principales: Deffeyes, Joan E, Harbourne, Regina T, DeJong, Stacey L, Kyvelidou, Anastasia, Stuberg, Wayne A, Stergiou, Nicholas
Formato: research Journal Article
Publicado: BioMed Central 2009
Acceso en línea:Ver este registro en EBSCOhost
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      dt: 2009
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      pub: BioMed Central
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        10.1186/1743-0003-6-34
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      ppf: 34
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        atl: Use of information entropy measures of sitting postural sway to quantify developmental delay in infants.
      aug:
        au:
          Deffeyes, Joan E
          Harbourne, Regina T
          DeJong, Stacey L
          Kyvelidou, Anastasia
          Stuberg, Wayne A
          Stergiou, Nicholas
        affil: Nebraska Biomechanics Core Facility, University of Nebraska at Omaha, Omaha, NE, 68182, USA
      sug:
        subj:
          Models, Biological
          Physics
          Developmental Disabilities Physiopathology
          Child Development
          Posture Physiology
          Developmental Disabilities Diagnosis
          Movement Physiology
          Informatics
          Child, Preschool
          Cerebral Palsy Diagnosis
          Motor Skills Disorders Diagnosis
          Disability Evaluation
          Human
          Infant
          Female
          Cerebral Palsy Physiopathology
          Male
          Motor Skills Disorders Physiopathology
          Comparative Studies
          Multicenter Studies
          Evaluation Research
          Validation Studies
          Questionnaires
          Child, Preschool: 2-5 years
          Infant: 1-23 months
          Female
          Male
      ab: Background: By quantifying the information entropy of postural sway data, the complexity of the postural movement of different populations can be assessed, giving insight into pathologic motor control functioning.Methods: In this study, developmental delay of motor control function in infants was assessed by analysis of sitting postural sway data acquired from force plate center of pressure measurements. Two types of entropy measures were used: symbolic entropy, including a new asymmetric symbolic entropy measure, and approximate entropy, a more widely used entropy measure. For each method of analysis, parameters were adjusted to optimize the separation of the results from the infants with delayed development from infants with typical development.Results: The method that gave the widest separation between the populations was the asymmetric symbolic entropy method, which we developed by modification of the symbolic entropy algorithm. The approximate entropy algorithm also performed well, using parameters optimized for the infant sitting data. The infants with delayed development were found to have less complex patterns of postural sway in the medial-lateral direction, and were found to have different left-right symmetry in their postural sway, as compared to typically developing infants.Conclusion: The results of this study indicate that optimization of the entropy algorithm for infant sitting postural sway data can greatly improve the ability to separate the infants with developmental delay from typically developing infants.
      pubtype: Academic Journal
      doctype:
        research
        Journal Article
      ougenre: Article
    language: English
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