Validation and optimisation of wearable accelerometer data pre-processing for digital measure implementation and development
This study validates and optimizes a modular, open-source pre-processing pipeline (GENEAcore) for wearable accelerometer data, demonstrating its ability to ensure high-quality, transparent, and traceable digital measures through rigorous calibration, non-wear detection, and behavioral transition analysis that significantly impacts activity duration calculations.