• DocumentCode
    710937
  • Title

    A novel quantitative assessment method to detect effects of essential tremor on static handwriting

  • Author

    Naiqian Zhi ; Jaeger, Beverly Kris ; Gouldstone, Andrew ; Frank, Samuel ; Sipahi, Rifat

  • Author_Institution
    Northeastern Univ., Boston, MA, USA
  • fYear
    2015
  • fDate
    17-19 April 2015
  • Firstpage
    1
  • Lastpage
    2
  • Abstract
    Essential Tremor (ET) manifests itself in people in the form of uncontrolled shaking, most notably during skeletal muscle usage. Severity of ET is commonly assessed through a set of clinical handwriting tests, the subjective analyses of which limit resolution and availability. To address this, our group is pursuing objective and computerized metrics to assess and quantify the extent of tremor in pre-existing static writing samples. In the current study, we tested these metrics by comparing unaffected writing samples with writing affected by artificially-induced tremor. Our findings suggest that these metrics can be utilized for assessment, leading to a toolset for objective monitoring of static handwriting changes associated with ET symptoms.
  • Keywords
    gait analysis; medical disorders; muscle; neurophysiology; patient diagnosis; patient monitoring; ET severity; ET symptoms; artificially-induced tremor; clinical handwriting tests; computerized metrics; essential tremor; objective monitoring; preexisting static writing samples; quantitative assessment method; skeletal muscle usage; static handwriting changes; subjective analyses; toolset; unaffected writing samples; uncontrolled shaking; Image segmentation; Measurement; Monitoring; Muscles; Parkinson´s disease; Writing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Biomedical Engineering Conference (NEBEC), 2015 41st Annual Northeast
  • Conference_Location
    Troy, NY
  • Print_ISBN
    978-1-4799-8358-2
  • Type

    conf

  • DOI
    10.1109/NEBEC.2015.7117211
  • Filename
    7117211