Stefan Kueppers

TL;DR: How the cloudUPDRS system addresses two key challenges towards meeting essential consistency and efficiency requirements is discussed, including how to reduce test duration from approximately 25 minutes typically required by an experienced patient, to below 4 minutes, a threshold identified as critical to obtain significant improvements in clinical compliance.

TL;DR: The cloudUPDRS system addresses two key challenges towards meeting essential consistency and efficiency requirements, namely: how to ensure high-quality data collection and how to reduce test duration from approximately 25 min typically required by an experienced patient, to below 4 min, a threshold identified as critical to obtain significant improvements in clinical compliance.

TL;DR: Smartphone-based measures of motor severity have predictive value at the subject level and future studies should mitigate against subjective and feature selection biases and assess performance across a range of motor features as part of a broader strategy to avoid overly optimistic performance estimates.

TL;DR: The CloudUPDRS app has been developed as a Class I medical device to assess the severity of motor symptoms for Parkinson's disease using a fully automated data capture and signal analysis process based on the standard Unified Parkinson's Disease Rating Scale as discussed by the authors.

TL;DR: The design and development of the CloudUPDRS app and supporting system developed as a Class I medical device to assess the severity of motor symptoms for Parkinson’s Disease is presented.