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Comparison of computer-key-hold-time and alternating-finger-tapping tests for early-stage Parkinson’s disease

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  • Boon Leong Lan
  • Jacob Hsiao Wen Yeo

Abstract

Giancardo et al. recently introduced the neuroQWERTY index (nQi), which is a novel motor index derived from computer-key-hold-time data using an ensemble regression algorithm, to detect early-stage Parkinson’s disease. Here, we derive a much simpler motor index from their hold-time data, which is the standard deviation (SD) of the hold-time fluctuations, where fluctuation is defined as the difference between successive natural-log of hold time. Our results show the performance of the SD and nQi tests in discriminating early-stage subjects from controls do not differ, although the SD index is much simpler. There is also no difference in performance between the SD and alternating-finger-tapping tests.

Suggested Citation

  • Boon Leong Lan & Jacob Hsiao Wen Yeo, 2019. "Comparison of computer-key-hold-time and alternating-finger-tapping tests for early-stage Parkinson’s disease," PLOS ONE, Public Library of Science, vol. 14(6), pages 1-7, June.
    • Handle: RePEc:plo:pone00:0219114
    DOI: 10.1371/journal.pone.0219114
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    References listed on IDEAS

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    1. Bartsch, Ronny & Plotnik, Meir & Kantelhardt, Jan W. & Havlin, Shlomo & Giladi, Nir & Hausdorff, Jeffrey M., 2007. "Fluctuation and synchronization of gait intervals and gait force profiles distinguish stages of Parkinson's disease," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 383(2), pages 455-465.
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