Let’s imagine an ideal world where we can identify which rehabilitation approach works best for a specific subgroup of a condition.
Wouldn’t that be amazing?
Especially if, at the very first session, a physiotherapist—supported by a robotic device or similars—could assign the participant to a precise subgroup from kinematics behavior.
In this project, I apply and compare different unsupervised machine learning techniques to see which one convinces me the most (tuning key parameters along the way).
