Touchscreen typing-pattern analysis for detecting fine motor skills decline in early-stage Parkinson's disease.

ABSTRACT: Parkinson's disease (PD) is a degenerative movement disorder causing progressive disability that severely affects patients' quality of life. While early treatment can produce significant benefits for patients, the mildness of many early signs combined with the lack of accessible high-frequency monitoring tools may delay clinical diagnosis. To meet this need, user interaction data from consumer technologies have recently been exploited towards unsupervised screening for PD symptoms in daily life. Similarly, this work proposes a method for detecting fine motor skills decline in early PD patients via analysis of patterns emerging from finger interaction with touchscreen smartphones during natural typing. Our approach relies on low-/higher-order statistical features of keystrokes timing and pr

SUBMITTER: Iakovakis D 

PROVIDER: S-EPMC5955899 | biostudies-literature | 2018 May

REPOSITORIES: biostudies-literature