Longitudinal assessment of falls in patients with Parkinson's disease using inertial sensors and the Timed Up and Go test.
Publication/Presentation Date
1-1-2018
Abstract
OBJECTIVE: To examine the predictive validity of a TUG test for falls risk, quantified using body-worn sensors (QTUG) in people with Parkinson's Disease (PD). We also sought to examine the inter-session reliability of QTUG sensor measures and their association with the Unified Parkinson's Disease Rating Scale (UPDRS) motor score.
APPROACH: A six-month longitudinal study of 15 patients with Parkinson's disease. Participants were asked to complete a weekly diary recording any falls activity for six months following baseline assessment. Participants were assessed monthly, using a Timed Up and Go test, quantified using body-worn sensors, placed on each leg below the knee.
MAIN RESULTS: The results suggest that the QTUG falls risk estimate recorded at baseline is 73.33% (44.90, 92.21) accurate in predicting falls within 90 days, while the Timed Up and Go time at baseline was 46.67% (21.27, 73.41) accurate. The Timed Up and Go time and QTUG falls risk estimate were strongly correlated with UPDRS motor score. Fifty-two of 59 inertial sensor parameters exhibited excellent inter-session reliability, five exhibited moderate reliability, while two parameters exhibited poor reliability.
SIGNIFICANCE: The results suggest that QTUG is a reliable tool for the assessment of gait and mobility in Parkinson's disease and, furthermore, that it may have utility in predicting falls in patients with Parkinson's disease.
Volume
5
First Page
2055668317750811
Last Page
2055668317750811
ISSN
2055-6683
Published In/Presented At
Greene, B. R., Caulfield, B., Lamichhane, D., Bond, W., Svendsen, J., Zurski, C., & Pratt, D. (2018). Longitudinal assessment of falls in patients with Parkinson's disease using inertial sensors and the Timed Up and Go test. Journal of rehabilitation and assistive technologies engineering, 5, 2055668317750811. https://doi.org/10.1177/2055668317750811
Disciplines
Medicine and Health Sciences
PubMedID
31191922
Department(s)
Department of Emergency Medicine
Document Type
Article