A data-driven framework for selecting and validating digital health metrics: use-case in neurological sensorimotor impairments

摘要

The frameworks allows to select a core set of validated digital health metrics through a transparent step-by-step selection procedure. Model quality criteria 1 and 2; ROC receiver operating characteristics, AUC area under curve, ICC intra-class correlation, SRD% smallest real difference; strength of learning effects. The framework was applied to data recorded with the VPIT, a sensor-based upper limb sensorimotor assessment requiring the coordination of arm and hand movements as well as grip forces.