DocumentCode :
104677
Title :
A Statistical Characterization of the Finger Tapping Test: Modeling, Estimation, and Applications
Author :
Austin, Daniel ; McNames, James ; Klein, Krystal ; Jimison, Holly ; Pavel, Misha
Author_Institution :
Dept. of Neurology, Oregon Health & Sci. Univ., Portland, OR, USA
Volume :
19
Issue :
2
fYear :
2015
fDate :
Mar-15
Firstpage :
501
Lastpage :
507
Abstract :
Sensory-motor performance is indicative of both cognitive and physical function. The Halstead-Reitan finger tapping test is a measure of sensory-motor speed commonly used to assess function as part of a neuropsychological evaluation. Despite the widespread use of this test, the underlying motor and cognitive processes driving tapping behavior during the test are not well characterized or understood. This lack of understanding may make clinical inferences from test results about health or disease state less accurate because important aspects of the task such as variability or fatigue are unmeasured. To overcome these limitations, we enhanced the tapper with a sensor that enables us to more fully characterize all the aspects of tapping. This modification enabled us to decompose the tapping performance into six component phases and represent each phase with a set of parameters having clear functional interpretation. This results in a set of 29 total parameters for each trial, including change in tapping over time, and trial-to-trial and tap-to-tap variability. These parameters can be used to more precisely link different aspects of cognition or motor function to tapping behavior. We demonstrate the benefits of this new instrument with a simple hypothesis-driven trial comparing single and dual-task tapping.
Keywords :
biomechanics; biomedical electronics; biomedical equipment; biomedical measurement; cognition; electric sensing devices; muscle; neurophysiology; patient diagnosis; potentiometers; psychology; Halstead-Reitan finger tapping test; cognition aspect-finger tapping behavior link; cognition aspect-finger tapping behavior relationship; cognitive process-driven finger tapping behavior; component phase representation; diseases state results; dual-task finger tapping; finger tapping applications; finger tapping change; finger tapping estimation; finger tapping modeling; functionally-interpreted finger tapping parameters; health test results; inaccurate clinical inferences; motor function-tapping behavior link; motor function-tapping behavior relationship; motor process-driven tapping behavior; neuropsychological evaluation; sensor-enhanced finger tapper; sensory-motor performance; sensory-motor speed measurement; simple hypothesis-driven trial; single-task finger tapping; statistical finger tapping characterization; tap-to-tap variability; tapping aspect characterization; tapping performance decomposition; trial-to-trial variability; unmeasured fatigue; unmeasured variability; Biomedical measurement; Educational institutions; Fatigue; Informatics; Instruments; Thumb; Finger tapping; mixed effects modeling; neuropsychological testing;
fLanguage :
English
Journal_Title :
Biomedical and Health Informatics, IEEE Journal of
Publisher :
ieee
ISSN :
2168-2194
Type :
jour
DOI :
10.1109/JBHI.2014.2384911
Filename :
6994740
Link To Document :
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