• DocumentCode
    2073637
  • Title

    A state-space model for finger tapping with applications to cognitive inference

  • Author

    Austin, Daniel ; Petersen, Jc ; Jimison, Holly ; Pavel, Misha

  • Author_Institution
    Biomed. Eng. Dept., Oregon Health & Sci. Univ., Portland, OR, USA
  • fYear
    2012
  • fDate
    Aug. 28 2012-Sept. 1 2012
  • Firstpage
    21
  • Lastpage
    24
  • Abstract
    Sensory-motor functions have been repeatedly linked to both cognitive and physical functions. One common test of sensory-motor performance frequently used for neuropsychological evaluation is the Halstead-Reitan finger tapping test (FTT). While this test has been normed and used extensively, the underlying sensory, motor and cognitive processes mediating tapping behavior during the test are not well understood. As a first step towards investigating the behavioral aspects manifested by these processes, we describe a state-space model for finger tapping during the FTT. This state-space model exploits quasiperiodicity to decompose tapping into a set of time-varying states corresponding to the instantaneous amplitude of the finger oscillation, the instantaneous frequency (or speed) of tapping, and a phase that keeps track of the current finger position during the cycle. We evaluate the model by showing a good fit between estimated and actual measurements, and outline an experiment that will relate features from the model to cognitive function.
  • Keywords
    cognition; somatosensory phenomena; state-space methods; Halstead-Reitan finger tapping test; cognitive inference; finger oscillation; neuropsychological evaluation; physical function; quasiperiodicity; sensory motor function; state space model; Manuals; State-space methods; Thumb; Time frequency analysis; Voltage measurement; Adult; Cognition; Female; Fingers; Humans; Male; Models, Biological; Movement; Psychomotor Performance;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society (EMBC), 2012 Annual International Conference of the IEEE
  • Conference_Location
    San Diego, CA
  • ISSN
    1557-170X
  • Print_ISBN
    978-1-4244-4119-8
  • Electronic_ISBN
    1557-170X
  • Type

    conf

  • DOI
    10.1109/EMBC.2012.6345861
  • Filename
    6345861