• DocumentCode
    2716232
  • Title

    Freezing of Gait detection in Parkinson´s disease using accelerometer based smart clothes

  • Author

    Niazmand, K. ; Tonn, K. ; Zhao, Y. ; Fietzek, U.M. ; Schroeteler, F. ; Ziegler, K. ; Ceballos-Baumann, A.O. ; Lueth, T.C.

  • Author_Institution
    Dept. Micro Technol. & Med. Device Technol., Tech. Univ. Muenchen, Garching, Germany
  • fYear
    2011
  • fDate
    10-12 Nov. 2011
  • Firstpage
    201
  • Lastpage
    204
  • Abstract
    Parkinson´s disease (PD) is a degenerative neurological disorder. Patients suffer from different movement disturbances. Amongst others, freezing of gait (FOG) is a common and disabling feature. A new method for FOG detection using a garment with integrated accelerometers, the MiMed-Pants, is presented and evaluated. MiMed-Pants are loose fitting washable pants for measuring movements and were previously developed. The accelerations of shanks and belt of 6 patients were recorded while walking on two standardized courses. The occurrence of FOG were detected and documented both by the new method and by a physician. Those recordings were then compared afterwards to determine the new method´s sensitivity and specificity. With this wearable measurement device FOG could be detected without the distracting effects of an extensive measurement installation.
  • Keywords
    accelerometers; biomedical measurement; diseases; gait analysis; medical disorders; FOG detection; MiMed-Pants; Parkinson´s disease; accelerometer based smart clothes; gait detection; integrated accelerometer; loose fitting washable pants; walking; wearable measurement device FOG; Acceleration; Accelerometers; Legged locomotion; Parkinson´s disease; Sensor systems; Parkinson disease; accelerometer; freezing of gait; textile integrated measurement device;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Biomedical Circuits and Systems Conference (BioCAS), 2011 IEEE
  • Conference_Location
    San Diego, CA
  • Print_ISBN
    978-1-4577-1469-6
  • Type

    conf

  • DOI
    10.1109/BioCAS.2011.6107762
  • Filename
    6107762