The course on “Rehabilitation and assistive technologies” is composed of two modules: “Biomechanics of human motion” and “Robotic and data-driven rehabilitation”

The objectives of the module “Biomechanics of human motion” are to provide an introduction to the biomechanics of the human movements and then to understand the main role underlying the control of spatial multiple degree-of-freedom human motion. These objectives will be reached by means of both theoretical lessons and practical activities in a lab of human movement analysis, preparing the student to understanding the main concept of physical/motor rehabilitation and of bioinspired robotics.

The objectives of the module “Robotic and data-driven rehabilitation” is to provide elements to understand current trends in rehabilitation.
The course will sketch the scenario of the fourth industrial revolution and the digital transformation that is changing rehabilitation and healthcare with a particular focus on the evolution of robotics (rehabilitative, assistive, collaborative, social). Evidence-based studies in clinical rehabilitation, its assessment tools and data-driven methodologies will be analyzed. In this regard, the full track from machine learning methods to their applications in the field will be analyzed, towards the implementation of personalized medicine and rehabilomics.