Work

D3.1 / First report on digital biomarkers for PD

Year: 2025

Type: article

Abstract: AI-PROGNOSIS aims to develop a system of digital biomarkers for Parkinson’s disease (PD) monitoring and for informing predictive models of disease risk and prognosis. Deliverable D3.1 reports on the development of the first version of digital biomarkers (dBMs) for tracking PD symptoms and risk factors. The focus is placed on motor and non-motor symptoms, including rest tremor, slowness of movement (bradykinesia), dyskinesias, REM Behaviour Disorder (RBD), daytime somnolence, overall physical activity, gross motor function, and cognitive function, using data from wearables, smartphone interaction, and digital active tests.

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.15542384

Author: Chatzichristos, Christos

Language: English

Topic: Context-Aware Activity Recognition Systems

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

SDG: Good health and well-being

Open Access status: green

Funder: European Commission

Award: Artificial intelligence-based Parkinson’s disease risk assessment and prognosis