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

Boon Leong Lan and Jacob Hsiao Wen Yeo

PLOS ONE, 2019, vol. 14, issue 6, 1-7

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.

Date: 2019
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Persistent link: https://EconPapers.repec.org/RePEc:plo:pone00:0219114

DOI: 10.1371/journal.pone.0219114

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