Limb and trunk accelerometer data collected with wearable sensors from subjects with Parkinson's disease.

ABSTRACT: Parkinson's disease (PD) is a neurodegenerative disorder characterized by motor and non-motor symptoms. Dyskinesia and motor fluctuations are complications of PD medications. An objective measure of on/off time with/without dyskinesia has been sought for some time because it would facilitate the titration of medications. The objective of the dataset herein presented is to assess if wearable sensor data can be used to generate accurate estimates of limb-specific symptom severity. Nineteen subjects with PD experiencing motor fluctuations were asked to wear a total of five wearable sensors on both forearms and shanks, as well as on the lower back. Accelerometer data was collected for four days, including two laboratory visits lasting 3 to 4 hours each while the remainder of the time was spent

SUBMITTER: Vergara-Diaz G 

PROVIDER: S-EPMC7864964 | biostudies-literature | 2021 Feb

REPOSITORIES: biostudies-literature