• DocumentCode
    2395031
  • Title

    A low-cost video-based tool for clinical gait analysis

  • Author

    Soda, Paolo ; Carta, Alfonso ; Formica, Domenico ; Guglielmelli, Eugenio

  • Author_Institution
    Med. Inf. & Comput. Sci. Lab., Univ. Campus Bio-Medico di Roma, Rome, Italy
  • fYear
    2009
  • fDate
    3-6 Sept. 2009
  • Firstpage
    3979
  • Lastpage
    3982
  • Abstract
    In physical and rehabilitation medicine physicians need to perform clinical gait analysis to assess patients walking ability. Despite the relevant research on motion tracking, gait analysis technologies are far to be commonly diffused in clinical practice since they are quite expensive, need high-structured laboratories and trained personnel who are not always available. In order to overcome such limitations, this work proposes a low-cost, video-based portable tool for clinical gait analysis which provides the bi-dimensional kinematic analysis of walking. The system processes a video stream by means of tracking different markers placed in five anatomical landmarks of the subject´s leg, applying Kalman filter in conjunction with a method that copes with occlusions. The system has been validated on a healthy subject, showing that it is able to reconstruct marker position and leg kinematics even if several occlusions occur.
  • Keywords
    Kalman filters; biomedical communication; gait analysis; image motion analysis; medical image processing; tracking; video streaming; Kalman filter; bi-dimensional kinematic analysis; clinical gait analysis; leg; low-cost video-based portable tool; marker position; motion tracking; occlusions; physical medicine; rehabilitation medicine; video stream; walking; Algorithms; Automatic Data Processing; Biomechanics; Biophysics; Gait; Humans; Leg; Models, Anatomic; Models, Statistical; Movement; Pattern Recognition, Automated; Software; Video Recording; 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.2009.5333623
  • Filename
    5333623