Dante Trabassi
it.linkedin.com
0000-0002-4739-3441
7 papers found
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Optimizing Rare Disease Gait Classification through Data Balancing and Generative AI: Insights from Hereditary Cerebellar Ataxia
Local Dynamic Stability of Trunk During Gait is Responsive to Rehabilitation in Subjects with Primary Degenerative Cerebellar Ataxia
Unsupervised machine learning strategy and Shapley Additive Explanation to distinguish gait abnormalities through IMU-based gait analysis in movement disorders
Multiscale Entropy Algorithms to Analyze Complexity and Variability of Trunk Accelerations Time Series in Subjects with Parkinson’s Disease
Machine Learning Approach to Support the Detection of Parkinson's Disease in IMU-Based Gait Analysis
Identification of Gait Unbalance and Fallers Among Subjects with Cerebellar Ataxia by a Set of Trunk Acceleration-Derived Indices of Gait
Ability of a Set of Trunk Inertial Indexes of Gait to Identify Gait Instability and Recurrent Fallers in Parkinson’s Disease
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