Deep-learning for the analysis of proprioceptive and postural rehabilitation data
keywords DATA ANALYTICS, DEEP NEURAL NETWORKS, MACHINE LEARNING
Reference persons ALFREDO BENSO
External reference persons Prof. Dario Riva - Delos
Research Groups GR-19 - SYSTEM BIOLOGY GROUP - SYSBIO
Thesis type RESEARCH
Description The goal of this thesis is the analysis of rehabilitation data gathered from hundreds of patients using the Delos system for proprioception and posture. In particolar, the goal is to implement an expert system able to dynamically define the best rehabilitation protocol to be followed by patients depending on their diagnosis and responses.
Required skills Machine Learning and Neural Networks
Notes Tesi svolta in collaborazione con Delos (https://www.delos-international.com).
Deadline 19/06/2021 PROPONI LA TUA CANDIDATURA