Virtual Sensors for Anomaly detection in people with Multiple Sclerosis (Ref. PID2020-112667RB-I00)
- Lead Researchers: Asier Zubizarreta , Itziar Cabanes Axpe - (01/09/2021 - 31/08/2024)
The main challenge of this approach is to characterize the state of the patient in a given time, so that the Virtual Sensor is able to detect slight variations in this state. The final goal is to provide therapists with information that allows them to adapt easily the rehabilitation therapies, so that their efficiency is maximized, which will impact on the quality of life of patients.
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