Papers
17
Total Citations
1,398
H-Index
12
About
Carmen Delconte is a prominent researcher specializing in robot-aided neurorehabilitation, with a particular focus on upper limb recovery following stroke. Her work has significantly advanced the field of rehabilitation robotics by developing innovative robotic devices and quantitative assessment frameworks that enable precise monitoring of patient recovery. Her landmark 2005 paper on robotic techniques for upper limb evaluation and rehabilitation has garnered over 400 citations, establishing foundational principles for the field, while her complementary work on patient motivation in robot-aided rehabilitation (388 citations) demonstrated that psychological factors are as critical as mechanical design in achieving successful outcomes. Delconte's research has progressively deepened in sophistication, moving from device design to nuanced analyses of recovery mechanisms, movement dynamics, and proprioceptive rehabilitation. Notable contributions include her development of the normalized force control parameter for measuring movement dynamics changes, reliability assessments of robotic evaluation tools, and adaptive training strategies informed by patients' own recovery patterns. Her 2012 work on progressive task regulation reflects a patient-centered philosophy that has influenced how clinicians tailor robotic therapy intensity. With cumulative citations exceeding 1,300, Delconte's scholarship has meaningfully shaped evidence-based practices in stroke rehabilitation and continues to inspire translational research bridging engineering and clinical neuroscience.
Research Focus
Key Achievements
Top Papers
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- 4A Simple Robotic System for Neurorehabilitation81 citations · 2005
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