• DocumentCode
    2075448
  • Title

    PAGAS: Portable and accurate gait analysis system

  • Author

    Wagner, Rene ; Ganz, Aura

  • Author_Institution
    Electr. & Comput. Eng. Dept., Univ. of Massachusetts, Amherst, MA, USA
  • fYear
    2012
  • fDate
    Aug. 28 2012-Sept. 1 2012
  • Firstpage
    280
  • Lastpage
    283
  • Abstract
    Gait analysis systems are powerful tools in the monitoring and rehabilitation of many health conditions which result in an altered gait (such as Parkinson´s disease and rheumatoid arthritis), along with the injury of lower limbs. However, current systems that provide accurate gait monitoring and analysis are large and expensive, and therefore are available only in professional settings. The goal of this research is to develop and test a Portable and Accurate Gait Analysis System, denoted PAGAS, which enables patients to monitor their own gait and track their progress and improvement over time. Moreover, PAGAS will enable therapists to follow the progress of their patients over time without the need for multiple visits required at a rehabilitation facility, thus saving significant healthcare costs. PAGAS includes footswitches and a micro-controller, which connects to an Android Smart-phone using Bluetooth communication. An application on the Smartphone analyzes the raw data to produce temporal gait parameters that are displayed to the user on a graphical user interface.
  • Keywords
    Bluetooth; diseases; gait analysis; graphical user interfaces; microcontrollers; patient monitoring; patient rehabilitation; smart phones; telemedicine; Android smartphone; Bluetooth communication; PAGAS; Parkinson disease; footswitches; graphical user interface; healthcare; lower limbs; microcontroller; monitoring; portable and accurate gait analysis system; rehabilitation; rheumatoid arthritis; Bluetooth; Foot; Graphical user interfaces; Legged locomotion; Microcontrollers; Monitoring; Smart phones; Cellular Phone; Female; Gait; Humans; Male; Microcomputers; Monitoring, Physiologic; Parkinson Disease; Telemedicine;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society (EMBC), 2012 Annual International Conference of the IEEE
  • Conference_Location
    San Diego, CA
  • ISSN
    1557-170X
  • Print_ISBN
    978-1-4244-4119-8
  • Electronic_ISBN
    1557-170X
  • Type

    conf

  • DOI
    10.1109/EMBC.2012.6345924
  • Filename
    6345924