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

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 th...

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Detalles Bibliográficos
Autores principales: Lan, Boon Leong, Yeo, Jacob Hsiao Wen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6597101/
https://www.ncbi.nlm.nih.gov/pubmed/31247037
http://dx.doi.org/10.1371/journal.pone.0219114
Descripción
Sumario: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.