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Sensors (Basel, Switzerland)|May 28, 2022
Machine Learning Approach to Support the Detection of Parkinson's Disease in IMU-Based Gait AnalysisDante Trabassi, Mariano Serrao, Tiwana Varrecchia, et al.
Brain Sciences|October 25, 2024
Mixed Reality-Based Smart Occupational Therapy Personalized Protocol for Cerebellar Ataxic PatientsMichela Franzò, Franco Marinozzi, Alessia Finti, et al.
Archives of Physiotherapy|February 5, 2025
Discriminative ability, responsiveness, and interpretability of smoothness index of gait in people with multiple sclerosisStefano Filippo Castiglia, Fulvio Dal Farra, Dante Trabassi, et al.
Scientific Reports|March 9, 2026
Identifying key gait features in stroke patients using wearable inertial sensors and supervised and unsupervised machine learningPaolo Brasiliano, Amaranta Soledad Orejel-Bustos, Valeria Belluscio, et al.
Sensors (Basel, Switzerland)|July 11, 2023
Multiscale Entropy Algorithms to Analyze Complexity and Variability of Trunk Accelerations Time Series in Subjects with Parkinson's DiseaseStefano Filippo Castiglia, Dante Trabassi, Carmela Conte, et al.
Sensors (Basel, Switzerland)|June 19, 2024
Optimizing Rare Disease Gait Classification through Data Balancing and Generative AI: Insights from Hereditary Cerebellar AtaxiaDante Trabassi, Stefano Filippo Castiglia, Fabiano Bini, et al.
Cerebellum (London, England)|January 26, 2024
Local Dynamic Stability of Trunk During Gait is Responsive to Rehabilitation in Subjects with Primary Degenerative Cerebellar AtaxiaStefano Filippo Castiglia, Dante Trabassi, Carmela Conte, et al.
Cerebellum (London, England)|January 26, 2022
Identification of Gait Unbalance and Fallers Among Subjects with Cerebellar Ataxia by a Set of Trunk Acceleration-Derived Indices of GaitStefano Filippo Castiglia, Dante Trabassi, Antonella Tatarelli, et al.
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