Irccs Eugenio Medea

This study tested whether a robotic walking device (Lokomat) can improve how children with cerebral palsy or other brain injuries walk. Fifty-nine children completed the program, and researchers measured changes in walking speed, step length, and other movement patterns. The goal…

This study tested whether an AI model could predict how children with movement problems engage with rehabilitation. Researchers collected heart activity, sweat response, and movement data from 31 children during therapy sessions. The goal is to help therapists adjust treatments i…

This study tested a special light-and-sensor system (WittySEM) to measure how quickly and accurately children with cerebral palsy can react to visual cues. Twenty children completed memory tasks by touching lighted targets, while cameras tracked their movements. The goal was to s…