Ensemble deep model for continuous estimation of Unified Parkinson's Disease Rating Scale III.

ABSTRACT:

Background

Unified Parkinson Disease Rating Scale-part III (UPDRS III) is part of the standard clinical examination performed to track the severity of Parkinson's disease (PD) motor complications. Wearable technologies could be used to reduce the need for on-site clinical examinations of people with Parkinson's disease (PwP) and provide a reliable and continuous estimation of the severity of PD at home. The reported estimation can be used to successfully adjust the dose and interval of PD medications.

Methods

We developed a novel algorithm for unobtrusive and continuous UPDRS-III estimation at home using two wearable inertial sensors mounted on the wrist and ankle. We used the ensemble of three deep-learning models to detect UPDRS-III-related patterns from a combination of h

SUBMITTER: Hssayeni MD 

PROVIDER: S-EPMC8010504 | biostudies-literature | 2021 Mar

REPOSITORIES: biostudies-literature