• DocumentCode
    590358
  • Title

    A remote sensor-based 6-minute functional walking ability test

  • Author

    Schulte, J. ; Elliott, D. ; Duc, N.A. ; Mckinley, Sharon ; Hoang, Doan B. ; Nanda, Priyadarsi

  • Author_Institution
    Sch. of Phys. & Adv. Mater., Univ. of Technol., Sydney, NSW, Australia
  • fYear
    2012
  • fDate
    28-31 Oct. 2012
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    This paper proposes and implements an integrated remote sensor-based 6-minute walk test (6MWT) for monitoring a patient´s clinical condition and correlate this data to the walking activity that the patient is performing to assess his/her functional ability and physical performance. The 6MWT is known to be one of the most effective rehabilitation tests for a clinician to assess individuals with a variety of clinical conditions including survivors of a critical illness. Our method deploys body sensors for measuring health conditions and an on-body accelerometer for detecting motion. An intelligent algorithm was developed to detect a walk step, count the number of steps, and dynamically derive the step distance based on an individual´s real-time walking parameters. The path and the derived walk distance are then related to their vital signs to assess their functional ability under various walk conditions. Our remote 6MWT is being considered for a telehealth rehabilitation procedure in an integrated assistive healthcare system.
  • Keywords
    accelerometers; gait analysis; patient monitoring; patient rehabilitation; remote sensing; body sensors; functional ability; functional walking ability test; health conditions; integrated assistive healthcare system; intelligent algorithm; motion detection; on-body accelerometer; patient clinical condition; physical performance; rehabilitation tests; remote sensor; time 6 min; Acceleration; Accelerometers; Educational institutions; Intelligent sensors; Legged locomotion; Monitoring;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Sensors, 2012 IEEE
  • Conference_Location
    Taipei
  • ISSN
    1930-0395
  • Print_ISBN
    978-1-4577-1766-6
  • Electronic_ISBN
    1930-0395
  • Type

    conf

  • DOI
    10.1109/ICSENS.2012.6411040
  • Filename
    6411040