Artificial Intelligence based CLinical decIsion support system for post-stroKe spasticity (ref PID2024-155343OB-I00)
- Lead researchers: Eva Portillo Pérez , Asier Zubizarreta - (01/09/2025 - 30/08/2028)
- Funding body: Ministerio de Ciencia, Innovación y Universidades
The main objective of this project is the design and development of an intelligent decision support system based on machine learning to identify the muscles affected by spasticity as well as objectively quantify the level of deterioration in both the upper and lower limbs. The approach is focused on stroke patients and aims to minimize the invasiveness of the assessment by using high-definition images of the limbs of the patient as input of a HPD system.
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