• DocumentCode
    2378608
  • Title

    Assessing the feasibility of classifying toe-walking severity in children with cerebral palsy using a sensorized shoe

  • Author

    Mancinelli, Chiara ; Patel, Shyamal ; Deming, Lynn C. ; Schmid, Maurizio ; Patritti, Benjamin L. ; Chu, Jeffrey J. ; Beckwith, Jonathan ; Greenwald, Richard ; Healey, Jennifer ; Bonato, Paolo

  • Author_Institution
    Dept. of Phys. Med. & Rehabilitation, Harvard Med. Sch., Boston, MA, USA
  • fYear
    2009
  • fDate
    3-6 Sept. 2009
  • Firstpage
    5163
  • Lastpage
    5166
  • Abstract
    The clinical management of children with cerebral palsy (CP) relies on monitoring changes in the severity of gait abnormalities and on planning appropriate clinical interventions. Currently available technology does not make it possible to perform clinical gait evaluations as often as it would be desirable from a clinical standpoint. The use of wearable technology (e.g. a sensorized shoe) could provide an effective means to monitor changes in the severity of gait abnormalities in children with CP. In this paper, we studied a group of children with CP who showed an equinus (i.e. toe-walking) gait pattern, a gait abnormality often observed in children with CP. The aim of the study was to determine the feasibility of relying upon a sensorized shoe to assess changes in the severity of toe-walking. We demonstrated that it is possible to use features extracted from the center of pressure trajectory and ankle kinematics to predict the severity of toe-walking. Our results motivate the development and clinical testing of a sensorized shoe to assess changes in gait patterns that accompany the development, and the response to clinical interventions, of children with CP.
  • Keywords
    body area networks; brain; feature extraction; gait analysis; kinematics; medical disorders; medical signal processing; neurophysiology; paediatrics; signal classification; ankle kinematics; center of pressure trajectory; cerebral palsy children gait abnormalities monitoring; clinical gait evaluations; clinical interventions; clinical management; equinus gait pattern; feature extraction; gait pattern changes assessment; sensorized shoe clinical testing; toe-walking severity classification; wearable technology; Ankle Joint; Biomechanics; Cerebral Palsy; Child; Feasibility Studies; Gait Disorders, Neurologic; Humans; Monitoring, Ambulatory; Pain Measurement; Shoes; Toes; Walking;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society, 2009. EMBC 2009. Annual International Conference of the IEEE
  • Conference_Location
    Minneapolis, MN
  • ISSN
    1557-170X
  • Print_ISBN
    978-1-4244-3296-7
  • Electronic_ISBN
    1557-170X
  • Type

    conf

  • DOI
    10.1109/IEMBS.2009.5332733
  • Filename
    5332733