• DocumentCode
    260288
  • Title

    A Wearable Accelerometer System for Unobtrusive Monitoring of Parkinson´s Diease Motor Symptoms

  • Author

    Khan, Faisal M. ; Barnathan, Michael ; Montgomery, Michael ; Myers, Stanely ; Cote, Lucien ; Loftus, Sheree

  • Author_Institution
    Rutgers Univ., New Brunswick, NJ, USA
  • fYear
    2014
  • fDate
    10-12 Nov. 2014
  • Firstpage
    120
  • Lastpage
    125
  • Abstract
    Parkinson´s disease is a complex condition currently monitored at home with paper diaries which rely on subjective and unreliable assessment of motor function at nonstandard time intervals. We present an innovative wearable and unobtrusive monitoring system for patients which can help provide physicians with significantly improved assessment of patients´ responses to drug therapies and lead to better-targeted treatment regimens. In this paper we describe the algorithmic development of the system and an evaluation in patients for assessing the onset and duration of advanced PD motor symptoms.
  • Keywords
    accelerometers; biomedical telemetry; diseases; medical computing; patient monitoring; time series; advanced parkinson disease motor symptoms; drug therapies; motor function; nonstandard time intervals; targeted treatment regimens; unobtrusive monitoring; wearable accelerometer system; Accelerometers; Accuracy; Artificial neural networks; Kernel; MATLAB; Parkinson´s disease; Support vector machines; Parkinson´s; accelerometer; time series;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Bioinformatics and Bioengineering (BIBE), 2014 IEEE International Conference on
  • Conference_Location
    Boca Raton, FL
  • Type

    conf

  • DOI
    10.1109/BIBE.2014.18
  • Filename
    7033569