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Article

Big data in Parkinson's disease: using smartphones to remotely detect longitudinal disease phenotypes.

Physiological measurement - 26 Apr 2018

Prince John, Arora Siddharth, de Vos Maarten

Abstract excerpt

OBJECTIVE: To better understand the longitudinal characteristics of Parkinson's disease (PD) through the analysis of finger tapping and memory tests collected remotely using smartphones. APPROACH: Using a large cohort (312 PD subjects and 236 controls) of participants in the mPower study, we extract clinically validated features from a finger tapping and memory test to monitor the longitudinal behaviour of study...

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PMID: 29516871
DOI: 10.1088/1361-6579/aab512

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-08.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

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