Papers

19

Total Citations

554

H-Index

11

About

Sandra Miccinilli is a prominent researcher specializing in neurorehabilitation engineering, with a particular focus on robotic-assisted therapy, brain stimulation, and neural interface technologies for neurological recovery. Her work primarily addresses upper limb rehabilitation following stroke, spinal cord injury, and multiple sclerosis, positioning her at the intersection of biomedical engineering and clinical neuroscience. Miccinilli's most influential contribution — a 2017 study on transcutaneous vagus nerve stimulation combined with robotic rehabilitation (144 citations) — demonstrated a non-invasive pathway to enhance post-stroke motor recovery, circumventing the clinical barriers of surgical implantation. Equally groundbreaking is her 2020 research (69 citations) developing an EEG/EOG-controlled whole-arm exoskeleton that restored activities of daily living for chronic stroke survivors, showcasing her commitment to real-world functional independence. Her systematic reviews and literature analyses have bridged the gap between laboratory innovation and clinical practice, synthesizing evidence on robotic therapy, transcranial direct current stimulation, and bio-cooperative control strategies. Her bio-cooperative framework, which dynamically adapts rehabilitation protocols to individual patient responses, reflects her patient-centered philosophy. With over 490 cumulative citations across her top works, Miccinilli continues to shape the future of technology-driven neurorehabilitation.

Research Focus

Key Achievements

11
H-Index
19
Papers
554
Total Citations
29
Avg Citations/Paper
🏆 Most Cited Paper
Transcutaneous Vagus Nerve Stimulation Combined with Robotic Rehabilitation Improves Upper Limb Function after Stroke
144 citations · 2017
📈 Most Prolific Year: 2021 (6 Papers)
🤝 Key Collaborators: 98
🏛 Institutions: Università Campus Bio-Medico, Campus Bio Medico University Hospital, Ospedale Civile di Venezia

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago