Unknown

Dataset Information

Gait analysis with wearables predicts conversion to parkinson disease.


ABSTRACT:

Objective

Quantification of gait with wearable technology is promising; recent cross-sectional studies showed that gait characteristics are potential prodromal markers for Parkinson disease (PD). The aim of this longitudinal prospective observational study was to establish gait impairments and trajectories in the prodromal phase of PD, identifying which gait characteristics are potentially early diagnostic markers of PD.

Methods

The 696 healthy controls (mean age = 63 ± 7 years) recruited in the Tubingen Evaluation of Risk Factors for Early Detection of Neurodegeneration study were included. Assessments were performed longitudinally 4 times at 2-year intervals, and people who converted to PD were identified. Participants were asked to walk at different speeds under single an

SUBMITTER: Del Din S 

PROVIDER: S-EPMC6899833 | biostudies-literature | 2019 Sep

REPOSITORIES: biostudies-literature