Motor Signatures in Digitized Cognitive and Memory Tests Enhances Characterization of Parkinson's Disease.

ABSTRACT: Although interest in using wearable sensors to characterize movement disorders is growing, there is a lack of methodology for developing clinically interpretable biomarkers. Such digital biomarkers would provide a more objective diagnosis, capturing finer degrees of motor deficits, while retaining the information of traditional clinical tests. We aim at digitizing traditional tests of cognitive and memory performance to derive motor biometrics of pen-strokes and voice, thereby complementing clinical tests with objective criteria, while enhancing the overall characterization of Parkinson's disease (PD). 35 participants including patients with PD, healthy young and age-matched controls performed a series of drawing and memory tasks, while their pen movement and voice were digitized. We exami

SUBMITTER: Ryu J 

PROVIDER: S-EPMC9231034 | biostudies-literature | 2022 Jun

REPOSITORIES: biostudies-literature