• DocumentCode
    180868
  • Title

    A Novel Body Sensor Network for Parkinson´s Disease Patients Rehabilitation Assessment

  • Author

    Caldara, M. ; Comotti, D. ; Galizzi, M. ; Locatelli, Paolo ; Re, V. ; Alimonti, D. ; Poloni, M. ; Rizzetti, M.C.

  • Author_Institution
    Dept. of Eng., Univ. of Bergamo, Dalmine, Italy
  • fYear
    2014
  • fDate
    16-19 June 2014
  • Firstpage
    81
  • Lastpage
    86
  • Abstract
    A miniaturized wireless Attitude and Heading Reference System has been developed with the primary purpose to achieve a body sensor network for motor performance quantitative analysis of Parkinson´s disease patients during rehabilitation sessions. The paper describes the performance of the single node, the peculiarities of the developed wearable network and the custom software developed specifically for the Extended Timed-Up-and-Go test. An experimental protocol on Parkinson´s Disease patients is currently ongoing. This paper reports the preliminary results, involving 13 patients (mean age 64.6±9) with a moderate disease level and 4 controls (mean age 64.3±4). The data taken during rehabilitation exercise have been analyzed and outcomes are discussed.
  • Keywords
    body sensor networks; diseases; neurophysiology; patient rehabilitation; Extended Timed-Up-and-Go test; Parkinson´s disease; custom software; miniaturized wireless Attitude and Heading Reference System; motor performance quantitative analysis; novel body sensor network; patient rehabilitation assessment; rehabilitation exercise; rehabilitation sessions; single node; wearable network; Diseases; Quaternions; Sensors; Software; Three-dimensional displays; Turning; Wireless sensor networks; AHRS; Gait analysis; Inertial module; Parkinson´s Disease; Rehabilitation; Wireless sensors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Wearable and Implantable Body Sensor Networks (BSN), 2014 11th International Conference on
  • Conference_Location
    Zurich
  • Print_ISBN
    978-1-4799-4932-8
  • Type

    conf

  • DOI
    10.1109/BSN.2014.28
  • Filename
    6855621