Ivana Cusmano
Papers
3
Total Citations
77
H-Index
2
About
Ivana Cusmano’s research centers on the intersection of rehabilitation robotics and quantitative assessment of upper limb recovery, particularly in stroke patients. Her major contributions lie in developing and validating robotic measures that objectively capture motor behavior changes during rehabilitation. Her most-cited work, a 2014 study on test–retest reliability of robotic assessment measures (52 citations), demonstrated how built-in sensors in rehabilitation robots can precisely measure movement kinematics and kinetics, offering a reliable alternative to subjective clinical scales. She further advanced this field by creating a novel tool to evaluate upper limb sense of position, testing both healthy individuals and stroke patients (23 citations), and by establishing inter-session reliability of robot-measured parameters (2 citations). These studies collectively highlight her role in pioneering standardized, sensor-based metrics that enhance the accuracy of recovery tracking. Cusmano’s work has significant implications for personalized rehabilitation protocols, enabling clinicians to detect subtle motor improvements and tailor interventions. Her achievements underscore a commitment to translating robotic technology into practical, evidence-based tools for neurological rehabilitation.
Research Focus
Key Achievements
Top Papers
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