Gaetano Pagano

TL;DR: This study introduced a step forward in the creation of standardisable tools for predicting health outcomes in individuals affected by stroke by assessing the performance of ML tree-based algorithms for predicting three-year mortality model in 1207 stroke patients with severe disability who completed rehabilitation and comparing them to that of a standard logistic regression.

TL;DR: Results suggest that gait analysis evaluations carried out by different inertial systems does not give completely overlapping estimation about the different parameters and that this must be taken in correct account especially comparing results of clinical trials obtained by different systems and sensor’s placements.

TL;DR: Investigation of the agreement between two commercial wearable inertial systems for gait analysis: Opal and G-Walk Systems, and their repeatability showed a not perfect agreement between the two systems although they both showed good repeatability.

TL;DR: It emerges that there is a significant statistical difference on six spatiotemporal parameters related to gait, turning and anticipatory postural adjustments (APA) between admission phase and discharge one, suggesting the importance of rehabilitation and of the rehabilitation institutes in the follow-up of post-surgical patients.

TL;DR: Results showed a significant agreement between SF and ZP COP measurements, suggesting a clinical use of Sensoria for low cost home care based balance impairment assessments, and new e-textile and wireless wearable sensor technologies enable to extend the posturography in new low-cost and home assessment contexts.