Design, development and validation of an automated and integrated measurement system for neuromotor performance assessment

Interest in developing smart and wearable sensors to monitor the patient's health is increasing in the scientific community. This thesis aims to combine medical and engineering expertise to design and develop an automatic measurement system to monitor and acquire information on neuromotor deficits and implement specific algorithms to understand the disease severity and pharmacological adherence. A first simulation and validation phase characterises the work to test and select the device and data analysis technique. Algorithms were developed to extract features from the data, and in the final part, devices and algorithms were tested for multiple case studies in both the medical and sports fields.