Daniele Rimini
Salford Royal NHS Foundation Trust, University of Manchester
Papers
2
Total Citations
22
H-Index
2
About
Daniele Rimini’s research lies at the intersection of neurorehabilitation, robotics, and motor control, with a primary focus on restoring upper limb function after stroke. His major contributions include developing prediction models for robot-assisted hand rehabilitation, enabling clinicians to tailor therapy to individual recovery trajectories. In his 2021 work, Rimini created data-driven tools to forecast patient responses to robotic treatment, a critical step toward personalized stroke rehabilitation. More recently, his 2025 study on muscle synergy analysis provides a novel framework for characterizing motor recovery by examining how stroke alters the coordination patterns of muscle groups. By identifying responders and non-responders to therapy through synergy metrics such as merging and fractionation, Rimini offers objective biomarkers for clinical decision-making. His work, grounded in a secondary analysis of a multicenter randomized controlled trial, has already garnered attention, with his most-cited paper accumulating 14 citations. Rimini’s research not only advances understanding of neural recovery mechanisms but also bridges the gap between engineering and clinical practice, offering tangible tools for improving patient outcomes in neurorehabilitation.
Research Focus
Key Achievements
Top Papers
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- 2