• DocumentCode
    113638
  • Title

    Relating sensor-based tremor metrics to a conventional clinical scale

  • Author

    Western, David ; Neild, Simon A. ; Hyde, Rick A. ; Jones, Rosemary ; Davies-Smith, Angela

  • Author_Institution
    Dept. of Mech. Eng., Univ. of Bristol, Bristol, UK
  • fYear
    2014
  • fDate
    8-10 Oct. 2014
  • Firstpage
    165
  • Lastpage
    168
  • Abstract
    Clinical scales based on visual observation are routinely used to assess pathological tremors, informing diagnoses and treatment selection. Because these scales incorporate elements that are subjective and limited in accuracy, sensor-based measurements of tremor are increasingly being considered as a means of improving on current practice. The translational potential of such measurement systems can be limited by their complexity and insufficient characterisation of how the new measures relate to the established scales and the prior literature that is based on those scales. In this study, we considered two simple sensor-based measures of tremor amplitude and compared them against an established clinical scale, the Fahn-Tolosa-Marin Tremor Rating Scale, among a cohort of 21 people with multiple sclerosis. Both metrics were found to be strongly correlated with the clinical scores (Pearson´s r = 0.83 in both cases). Sources of discrepancy are discussed, suggesting avenues for further refinement of tremor assessment methods.
  • Keywords
    medical disorders; motion measurement; neurophysiology; patient diagnosis; sensors; Fahn-Tolosa-Marin Tremor Rating Scale; conventional clinical scale; pathological tremors; sensor based tremor measurements; sensor based tremor metrics; visual observation; Frequency-domain analysis; Multiple sclerosis; Pathology; Reliability; Sensors; Visualization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Healthcare Innovation Conference (HIC), 2014 IEEE
  • Conference_Location
    Seattle, WA
  • Type

    conf

  • DOI
    10.1109/HIC.2014.7038900
  • Filename
    7038900