22 Jul 2025
AI-PROGNOSIS study presented at EMBC2025 explores wrist-worn sensor data for daily monitoring of Parkinson’s symptoms
At the 47th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2025), held in Copenhagen, Denmark, from July 14–17, 2025, Ioannis Gerasimou (Aristotle University of Thessaloniki) presented the paper “Wrist Accelerometry-based Digital Assessment of Slowness of Movement in Parkinson’s Disease: a Multi-Cohort Analysis”. The study is part of the EU-funded AI-PROGNOSIS project.
This work aimed to develop a digital biomarker (dBM) for assessing upper limb slowness of movement in Parkinson’s disease using wrist accelerometer data passively captured during daily living. The dBM was trained on data from the Verily substudy of the Parkinson’s Progression Markers Initiative (PPMI) and externally validated on an independent dataset (Michael J. Fox Foundation Levodopa Response Study) to assess generalizability".



