Papers
8
Total Citations
461
H-Index
7
About
Peppino Tropea is a leading researcher in neurorehabilitation robotics, whose work focuses on restoring motor function after stroke and improving balance in aging populations. His core contributions lie at the intersection of electromyographic (EMG) signal processing, robotic exoskeletons, and muscle synergy analysis. Tropea’s most influential work demonstrated that EMG-based pattern recognition can predict patient intentions during robot-aided stroke rehabilitation, a breakthrough that enables more intuitive, patient-responsive therapy. His 2013 paper on this topic has garnered 170 citations, underscoring its foundational impact. He also pioneered the use of an active pelvis orthosis to improve balance recovery after slippage, with a key 2017 paper (126 citations) showing that ecologically-controlled exoskeletons can significantly enhance stability in older adults. Further, his investigation into early, intensive neurorehabilitation revealed how such training modifies abnormal muscle synergies in acute post-stroke patients (104 citations). Tropea’s work has advanced personalized rehabilitation through platforms like AGREE, and he has explored innovative error-enhancing and active-assistive robotic treatments. His research bridges engineering and clinical practice, offering concrete pathways to more effective, data-driven recovery for individuals with neurological impairments.
Research Focus
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