• DocumentCode
    670580
  • Title

    Asymmetry detection during pathological gait using a plantar pressure sensing system

  • Author

    Wafai, Linah ; Zayegh, Aladin ; Begg, R. ; Woulfe, John

  • Author_Institution
    Coll. of Eng. & Sci., Victoria Univ., Melbourne, VIC, Australia
  • fYear
    2013
  • fDate
    17-20 Nov. 2013
  • Firstpage
    182
  • Lastpage
    187
  • Abstract
    Foot pain has long been associated with various pathologies of the foot. These common clinical problems often correspond with high plantar pressure, which can lead to severe plantar injury if it is left untreated. The detection of plantar pressure abnormalities is therefore of paramount importance for the diagnosis, early intervention, treatment and prevention of plantar injury. Traditional clinical methods for the diagnosis of plantar pressure abnormalities are predominantly subjective and can be unreliable. This study aimed to utilise sensor shoe-insoles to assess the asymmetry in peak plantar pressure during gait between the left and right feet of individuals with and without known foot pathologies. Outcomes of this study demonstrate that the level of asymmetry is significantly different between the control and pathological population at the third and fourth metatarsophalangeal joints (MPJs) (P <; 0.05). The use of plantar pressure measurement and asymmetry analysis may prove to be effective in the diagnosis and assessment of treatment outcomes for the prevention of foot injury.
  • Keywords
    gait analysis; patient diagnosis; patient treatment; pressure sensors; asymmetry detection; foot injury; forefoot plantar pressure distribution; metatarsophalangeal joints; pathological gait; patient diagnosis; patient treatment; plantar injury; plantar pressure sensing system; sensor shoe-insoles; Diabetes; Foot; Injuries; Pathology; Pressure measurement; Sociology; Statistics; forefoot problems; gait symmetry; plantar pressure;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    GCC Conference and Exhibition (GCC), 2013 7th IEEE
  • Conference_Location
    Doha
  • Print_ISBN
    978-1-4799-0722-9
  • Type

    conf

  • DOI
    10.1109/IEEEGCC.2013.6705772
  • Filename
    6705772