GEARing smart environments for pediatric motor rehabilitation.

Background: There is a lack of early (infant) mobility rehabilitation approaches that incorporate natural and complex environments and have the potential to concurrently advance motor, cognitive, and social development. The Grounded Early Adaptive Rehabilitation (GEAR) system is a pediatric learning...

Descripción completa

Detalles Bibliográficos
Publicado en:Journal of NeuroEngineering & Rehabilitation (JNER) Vol. 17; no. 1; pp. 1 - 16
Autores principales: Kokkoni, Elena, Mavroudi, Effrosyni, Zehfroosh, Ashkan, Galloway, James C., Vidal, Renè, Heinz, Jeffrey, Tanner, Herbert G.
Formato: Journal Article
Publicado: BioMed Central 2/10/2020
Acceso en línea:Ver este registro en EBSCOhost
fields @attributes:
  recordID: 1
pdfLink:
plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=141662323&site=ehost-live
header:
  @attributes:
    shortDbName: ccm
    uiTerm: 141662323
    longDbName: CINAHL Complete
    uiTag: AN
  controlInfo:
    bkinfo:
    dissinfo:
    jinfo:
      jid:
        17430003
        1CUC
      jtl: Journal of NeuroEngineering & Rehabilitation (JNER)
      issn: 17430003
      maglogo: N
    pubinfo:
      dt: 2/10/2020
      vid: 17
      iid: 1
      pid: 24147
      pub: BioMed Central
    artinfo:
      ui:
        141662323
        141662323
        NLM32041623
        10.1186/s12984-020-0647-0
        NLM32041623
        141662323
      ppf: 1
      ppct: 15
      formats:
      tig:
        atl: GEARing smart environments for pediatric motor rehabilitation.
      aug:
        au:
          Kokkoni, Elena
          Mavroudi, Effrosyni
          Zehfroosh, Ashkan
          Galloway, James C.
          Vidal, Renè
          Heinz, Jeffrey
          Tanner, Herbert G.
        affil: Department of Bioengineering, University of California, 92521, Riverside, CA, USA
      sug:
        subj:
          Interpersonal Relations
          Orthoses
          Symptoms
          Robotics Methods
          Motor Activity
          Child, Preschool
          Algorithms
          Female
          Male
          Infant
          Down Syndrome Rehabilitation
          Developmental Disabilities Rehabilitation
          Questionnaires
          Social Readjustment Rating Scale
          Child, Preschool: 2-5 years
          Infant: 1-23 months
          Female
          Male
      ab: Background: There is a lack of early (infant) mobility rehabilitation approaches that incorporate natural and complex environments and have the potential to concurrently advance motor, cognitive, and social development. The Grounded Early Adaptive Rehabilitation (GEAR) system is a pediatric learning environment designed to provide motor interventions that are grounded in social theory and can be applied in early life. Within a perceptively complex and behaviorally natural setting, GEAR utilizes novel body-weight support technology and socially-assistive robots to both ease and encourage mobility in young children through play-based, child-robot interaction. This methodology article reports on the development and integration of the different system components and presents preliminary evidence on the feasibility of the system.Methods: GEAR consists of the physical and cyber components. The physical component includes the playground equipment to enrich the environment, an open-area body weight support (BWS) device to assist children by partially counter-acting gravity, two mobile robots to engage children into motor activity through social interaction, and a synchronized camera network to monitor the sessions. The cyber component consists of the interface to collect human movement and video data, the algorithms to identify the children's actions from the video stream, and the behavioral models for the child-robot interaction that suggest the most appropriate robot action in support of given motor training goals for the child. The feasibility of both components was assessed via preliminary testing. Three very young children (with and without Down syndrome) used the system in eight sessions within a 4-week period.Results: All subjects completed the 8-session protocol, participated in all tasks involving the selected objects of the enriched environment, used the BWS device and interacted with the robots in all eight sessions. Action classification algorithms to identify early child behaviors in a complex naturalistic setting were tested and validated using the video data. Decision making algorithms specific to the type of interactions seen in the GEAR system were developed to be used for robot automation.Conclusions: Preliminary results from this study support the feasibility of both the physical and cyber components of the GEAR system and demonstrate its potential for use in future studies to assess the effects on the co-development of the motor, cognitive, and social systems of very young children with mobility challenges.
      pubtype: Academic Journal
      doctype: Journal Article
      ougenre: Article
    language: English
    refInfo:
    holdings:
      @attributes:
        islocal: N