Livello precedente |
Paolo Tasca. A machine learning approach for spatio-temporal gait analysis based on a head-mounted inertial sensor. Rel. Andrea Cereatti, Gabriella Balestra, Samanta Rosati, Francesca Salis. Politecnico di Torino, Corso di laurea magistrale in Ingegneria Biomedica, 2022
Susanna Margagliotti. Comparison of head-mounted IMU-based methods for temporal gait description: performance on healthy subjects of different age range and parkinsonian patients. Rel. Andrea Cereatti, Tecla Bonci, Francesca Salis. Politecnico di Torino, Corso di laurea magistrale in Ingegneria Biomedica, 2023
Geronimo Federico Ratto. Algorithmic Optimization and Validation of a Multi-Sensor Wearable System for Exploring Gait Under Extreme Terrain Conditions. Rel. Andrea Cereatti, Diego Torricelli, Francesca Salis, Adriana Torres Pardo. Politecnico di Torino, Corso di laurea magistrale in Ingegneria Biomedica, 2023
Laura Mazzoletti. Estimation of parameters to evaluate asymmetries in movement in patients affected by multiple sclerosis during activities of daily life. Rel. Andrea Cereatti, Francesca Salis. Politecnico di Torino, Corso di laurea magistrale in Ingegneria Biomedica, 2023