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Dataset Information

Smartphone-derived keystroke dynamics are sensitive to relevant changes in multiple sclerosis.


ABSTRACT:

Background

To investigate smartphone keystroke dynamics (KD), derived from regular typing, on sensitivity to relevant change in disease activity, fatigue, and clinical disability in multiple sclerosis (MS).

Methods

Preplanned interim analysis of a cohort study with 102 MS patients assessed at baseline and 3-month follow-up for gadolinium-enhancing lesions on magnetic resonance imaging, relapses, fatigue and clinical disability outcomes. Keyboard interactions were unobtrusively collected during typing using the Neurokeys App. From these interactions 15 keystroke features were derived and aggregated using 16 summary and time series statistics. Responsiveness of KD to clinical anchor-based change was assessed by calculating the area under the receiver operating characteristic c

SUBMITTER: Lam KH 

PROVIDER: S-EPMC9299491 | biostudies-literature | 2022 Feb

REPOSITORIES: biostudies-literature