Federico Parisi

TL;DR: The results, based on a limited number of subjects with Parkinson's disease (PD), show poor-to-moderate correlations between the UPDRS scores of different tasks, highlighting that the patients' motor performance may vary significantly from one task to another, since different tasks relate to different aspects of the disease.

TL;DR: In this article, a Task Force was assembled by recruiting individuals with expertise in electronic Patient-Reported Outcomes (ePRO), wearable sensors, and digital contact tracing technologies to monitor and mitigate the effects of the COVID-19 pandemic.

TL;DR: The utility and reliability of self-reports for describing motor fluctuations, the agreement between participants and clinical raters on the presence of motor complications, the ability of video raters to accurately assess motor symptoms, and the dynamics of tremor, dyskinesia, and bradykinesIA as they evolve over the medication cycle are investigated.

TL;DR: A Boby Sensor Network (BSN)-based system for the characterization of gait in Parkinsonians through the extraction of kinematic features, in both time and frequency domains, embedding information on the status of the PD.

TL;DR: The results demonstrate that the proposed solution represents a substantial improvement in PD assessment respect to the former two approaches treated separately, and a new example of an accurate, feasible and cost-effective mean for the decentralized management of PD.