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  KEYWORD

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




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