Papers
13
Total Citations
508
H-Index
8
About
Irma Sterpi is a leading researcher in robotic neurorehabilitation, with a primary focus on the recovery of upper limb motor function following stroke. Her work sits at the intersection of rehabilitation engineering, clinical assessment, and adaptive training methodologies, making significant contributions to how robots can both evaluate and improve patient outcomes. Sterpi's most influential contribution, "Robotic Assessment of Upper Limb Motor Function After Stroke" (2012, 143 citations), challenged the subjectivity of traditional therapist-led evaluations by demonstrating that robotic systems can provide objective, sensitive, and reproducible measurements of motor behavior. Building on this foundation, she pioneered novel metrics such as the normalized force control parameter to quantify movement dynamics during therapy, and established the test-retest reliability of robotic assessment tools, reinforcing their clinical credibility. A particularly innovative thread in her research involves adaptive, patient-centered training. Her progressive task regulation algorithms dynamically match exercise difficulty to individual patient ability, improving motivation and therapeutic outcomes. She has also extended her work into proprioceptive rehabilitation, exploring how robot-assisted training can address sensory deficits often overlooked in conventional stroke recovery programs. With over 490 cumulative citations, Sterpi's body of work has meaningfully shaped modern evidence-based approaches to robotic rehabilitation, offering clinicians and engineers alike a rigorous scientific framework for personalized stroke recovery.
Research Focus
Key Achievements
Top Papers
- 1Robotic Assessment of Upper Limb Motor Function After Stroke143 citations · 2012
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