Antonella Belfatto
Papers
1
Total Citations
33
H-Index
1
About
Antonella Belfatto is a leading researcher in neurorehabilitation engineering, with a focus on developing quantitative, multiparameter frameworks to assess and enhance recovery in post-stroke patients. Her most-cited work, "A Multiparameter Approach to Evaluate Post-Stroke Patients: An Application on Robotic Rehabilitation" (2018, 33 citations), pioneers the integration of multidomain instrumental evaluations—such as kinematic, kinetic, and physiological data—with standard clinical assessments. This novel methodology provides a comprehensive, objective portrait of patient status, moving beyond subjective scales to guide personalized robotic rehabilitation therapies. By demonstrating how such data fusion can reveal subtle recovery patterns and optimize treatment strategies, Belfatto has advanced the field’s ability to tailor interventions to individual needs. Her contributions are particularly impactful for chronic stroke populations, where traditional assessments often miss meaningful progress. With her work cited in rehabilitation robotics and clinical neuroscience circles, Belfatto is recognized for bridging engineering precision with patient-centered care, offering a scalable toolkit that promises to transform how clinicians monitor and adapt rehabilitation protocols.
Research Focus
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Top Papers
- 1