Internet of Things Platform for the Assessment of Neurological Disorders

This thesis introduces an IoT platform using IMU-based sensors to assess neurological disorders, like Friedreich's Ataxia, through motion capture. Designed to meet medical standards, the system integrates edge and cloud infrastructure, demonstrating promising results in addressing research limitations. It holds potential for long-term kinematic motion monitoring, offering valuable data for managing these disorders and advancing healthcare technology.