• DocumentCode
    2466098
  • Title

    Distance estimation from acceleration for quantitative evaluation of Parkinson tremor

  • Author

    Jeon, Hyoseon ; Kim, Sang Kyong ; Jeon, BeomSeok ; Park, Kwang Suk

  • Author_Institution
    Interdisciplinary Program in Medical and Biological Engineering, Seoul National University, Graduate School, Republic of Korea
  • fYear
    2011
  • fDate
    Aug. 30 2011-Sept. 3 2011
  • Firstpage
    393
  • Lastpage
    396
  • Abstract
    The purpose of this paper is to assess Parkinson tremor estimating actual distance amplitude. We propose a practical, useful and simple method for evaluating Parkinson tremor with distance value. We measured resting tremor of 7 Parkinson Disease (PD) patients with triaxial accelerometer. Resting tremor of participants was diagnosed by Unified Parkinson´s Disease Rating Scale (UPDRS) by neurologist. First, we segmented acceleration signal during 7 seconds from recorded data. To estimate a displacement of tremor, we performed double integration from the acceleration. Prior to double integration, moving average method was used to reduce an error of integral constant. After estimation of displacement, we calculated tremor distance during 1s from segmented signal using Euclidean distance. We evaluated the distance values compared with UPDRS. Averaged moving distance during 1 second corresponding to UPDRS 1 was 11.52mm, that of UPDRS 2 was 33.58mm and tremor distance of UPDRS 3 was 382.22 mm. Estimated moving distance during 1s was proportional to clinical rating scale — UPDRS.
  • Keywords
    Acceleration; Accelerometers; Educational institutions; Surgery; Three dimensional displays; Thumb; Acceleration; Actigraphy; Algorithms; Diagnosis, Computer-Assisted; Humans; Parkinson Disease; Reproducibility of Results; Sensitivity and Specificity; Tremor;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society, EMBC, 2011 Annual International Conference of the IEEE
  • Conference_Location
    Boston, MA
  • ISSN
    1557-170X
  • Print_ISBN
    978-1-4244-4121-1
  • Electronic_ISBN
    1557-170X
  • Type

    conf

  • DOI
    10.1109/IEMBS.2011.6090126
  • Filename
    6090126