Papers
16
Total Citations
579
H-Index
11
About
Arianna Cruciani is a prominent rehabilitation researcher whose work centers on robotic and sensor-based technologies for neurological recovery, particularly following stroke. Her research has made significant contributions to understanding how robotic devices can be applied across the full spectrum of upper limb rehabilitation — from shoulder to hand — as well as gait and balance recovery. Cruciani's most impactful work includes a multicenter randomized clinical trial (134 citations) demonstrating the efficacy of upper limb robotic rehabilitation after stroke, a field she has helped shape through rigorous clinical investigation. Her studies on reliability and validity of robotic outcome measures — both for finger and planar arm training devices — have strengthened the scientific foundation for using robots as objective assessment tools, not merely therapeutic aids. Her gait rehabilitation research, spanning both subacute and chronic stroke populations, further illustrates the breadth of her clinical scope. Notably, Cruciani has explored how patient-specific factors such as cognitive reserve may influence rehabilitation outcomes, bringing a nuanced, individualized perspective to technology-driven therapy. Her work on organizational models for robot-assisted rehabilitation (2019) reflects a practical commitment to clinical sustainability. With over 550 cumulative citations, her research continues to meaningfully advance evidence-based, technology-enhanced neurorehabilitation practice.
Research Focus
Key Achievements
Top Papers
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- 2Robotic and Sensor Technology for Upper Limb Rehabilitation97 citations · 2018
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