ALAMEDA Parkinson's Disease Accelerometer Dataset

The ALAMEDA Parkinson’s Disease Accelerometer Dataset contains raw accelerometer data collected from 11 Parkinson’s disease (PD) patients with wrist-worn GENEActiv smart bracelets. The data were gathered as part of the PD pilot of the ALAMEDA Horizon 2020 Research and Innovation Action, which aims to bridge the early diagnosis and treatment gap in brain diseases. Fifteen patients were initially enrolled at the Special Outpatient Clinic of Parkinson’s Disease and Related Movement Disorders, First Department of Neurology, National and Kapodistrian University of Athens (Eginitio Hospital), with eleven patients eventually contributing to the dataset. The study was approved by the institutional Ethics Committee, and informed consent was obtained from all participants. Patients were monitored over an one-year period, with four intensive one-week monitoring periods, each scheduled prior to in-clinic re-evaluations on a three-month basis. The dataset includes: Raw accelerometer data sampled at 100 Hz in x, y, and z axes, with the associated timestamps, organized in Parquet files per patient and monitoring period. Clinical annotations including scores from MDS-UPDRS III, MoCA, SCOPA, PDSS-2, PDQ-39, Hoehn & Yahr, and Schwab & England scales. Meta-data from patient visits, such as demographics and medication dosage information. This dataset is intended to support research on the relationship between upper-limb motor activity patterns and clinical status in PD, and to aid in developing machine learning models for digital biomarkers and disease monitoring.