• DocumentCode
    79027
  • Title

    Kinetic Gait Analysis Using a Low-Cost Insole

  • Author

    Howell, A.M. ; Kobayashi, Takehiko ; Hayes, H.A. ; Foreman, K. Bo ; Bamberg, Stacy J. M.

  • Author_Institution
    Dept. of Mech. Eng., Univ. of Utah, Salt Lake City, UT, USA
  • Volume
    60
  • Issue
    12
  • fYear
    2013
  • fDate
    Dec. 2013
  • Firstpage
    3284
  • Lastpage
    3290
  • Abstract
    Abnormal gait caused by stroke or other pathological reasons can greatly impact the life of an individual. Being able to measure and analyze that gait is often critical for rehabilitation. Motion analysis labs and many current methods of gait analysis are expensive and inaccessible to most individuals. The low-cost, wearable, and wireless insole-based gait analysis system in this study provides kinetic measurements of gait by using low-cost force sensitive resistors. This paper describes the design and fabrication of the insole and its evaluation in six control subjects and four hemiplegic stroke subjects. Subject-specific linear regression models were used to determine ground reaction force plus moments corresponding to ankle dorsiflexion/plantarflexion, knee flexion/extension, and knee abduction/adduction. Comparison with data simultaneously collected from a clinical motion analysis laboratory demonstrated that the insole results for ground reaction force and ankle moment were highly correlated (all >0.95) for all subjects, while the two knee moments were less strongly correlated (generally >0.80). This provides a means of cost-effective and efficient healthcare delivery of mobile gait analysis that can be used anywhere from large clinics to an individual´s home.
  • Keywords
    biological techniques; gait analysis; medical disorders; regression analysis; abnormal gait; ankle dorsiflexion; ankle plantarflexion; clinical motion analysis laboratory; ground reaction force; hemiplegic stroke; kinetic gait analysis; kinetic measurement; knee abduction; knee adduction; knee extension; knee flexion; low cost insole; rehabilitation; subject specific linear regression model; Educational institutions; Force; Force measurement; Knee; Sensors; Shape; Standards; Ankle moment; force sensitive resistor; gait analysis; ground reaction force (GRF); insole; knee moment; orthosis;
  • fLanguage
    English
  • Journal_Title
    Biomedical Engineering, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9294
  • Type

    jour

  • DOI
    10.1109/TBME.2013.2250972
  • Filename
    6473842