Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.12530/25076
Title: Computer keyboard interaction as an indicator of early Parkinson's disease.
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Issue Date: 2016
Citation: Sci Rep.2016 10;(6):34468
Abstract: Parkinson's disease (PD) is a slowly progressing neurodegenerative disease with early manifestation of motor signs. Objective measurements of motor signs are of vital importance for diagnosing, monitoring and developing disease modifying therapies, particularly for the early stages of the disease when putative neuroprotective treatments could stop neurodegeneration. Current medical practice has limited tools to routinely monitor PD motor signs with enough frequency and without undue burden for patients and the healthcare system. In this paper, we present data indicating that the routine interaction with computer keyboards can be used to detect motor signs in the early stages of PD. We explore a solution that measures the key hold times (the time required to press and release a key) during the normal use of a computer without any change in hardware and converts it to a PD motor index. This is achieved by the automatic discovery of patterns in the time series of key hold times using an ensemble regression algorithm. This new approach discriminated early PD groups from controls with an AUC = 0.81 (n = 42/43; mean age = 59.0/60.1; women = 43%/60%;PD/controls). The performance was comparable or better than two other quantitative motor performance tests used clinically: alternating finger tapping (AUC = 0.75) and single key tapping (AUC = 0.61).
PMID: 27703257
URI: https://hdl.handle.net/20.500.12530/25076
Rights: openAccess
Appears in Collections:Fundaciones e Institutos de Investigación > IIS H. U. 12 de Octubre > Artículos
Fundaciones e Institutos de Investigación > IIS H. U. Clínico San Carlos > Artículos

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