17 results on '"Castiglia, Stefano Filippo"'
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2. The role of stroke-induced immunosuppression as a predictor of functional outcome in the neurorehabilitation setting
3. The Lower Limb Muscle Co-Activation Map during Human Locomotion: From Slow Walking to Running
4. The Effect of a Wearable Assistive Trunk Exoskeleton on the Motor Coordination of People with Cerebellar Ataxia.
5. Optimizing Rare Disease Gait Classification through Data Balancing and Generative AI: Insights from Hereditary Cerebellar Ataxia.
6. Multiscale Entropy Algorithms to Analyze Complexity and Variability of Trunk Accelerations Time Series in Subjects with Parkinson’s Disease
7. Actigraphic Sensors Describe Stroke Severity in the Acute Phase: Implementing Multi-Parametric Monitoring in Stroke Unit
8. Machine Learning Approach to Support the Detection of Parkinson’s Disease in IMU-Based Gait Analysis
9. Characterizing the Gait of People With Different Types of Amputation and Prosthetic Components Through Multimodal Measurements: A Methodological Perspective
10. Ability of a Set of Trunk Inertial Indexes of Gait to Identify Gait Instability and Recurrent Fallers in Parkinson’s Disease
11. Actigraphic Measurement of the Upper Limbs for the Prediction of Ischemic Stroke Prognosis: An Observational Study
12. An artificial neural network approach to detect presence and severity of Parkinson’s disease via gait parameters
13. Exploring Risk of Falls and Dynamic Unbalance in Cerebellar Ataxia by Inertial Sensor Assessment
14. Progressive Modular Rebalancing System and Visual Cueing for Gait Rehabilitation in Parkinson's Disease: A Pilot, Randomized, Controlled Trial With Crossover
15. Prediction of Responsiveness of Gait Variables to Rehabilitation Training in Parkinson's Disease
16. Cross-Cultural Adaptation, Validity and Reliability Study of the Italian Version of the Back Pain Functional Scale.
17. Gait analysis, trunk movements, and electromyographic patterns after minimally invasive spine surgery for lumbar instability: An observational prospective study.
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