Alessandra Del Felice

University of Padua

Papers

8

Total Citations

260

H-Index

5

About

Alessandra Del Felice is an Italian neuroscientist and rehabilitation researcher whose work sits at the dynamic intersection of neurophysiology, robotics, and motor recovery. Her research focuses primarily on brain-machine interfaces, robotic-assisted gait training (RAGT), and the neural mechanisms underlying motor rehabilitation — particularly in stroke survivors and individuals with central nervous system lesions. Del Felice's most influential contribution, a 2020 systematic review garnering 137 citations, established the state-of-the-art framework for neural interfacing with robotic gait devices in stroke rehabilitation, introducing the DESIRED checklist as a methodological benchmark for the field. Her foundational 2016 EEG study (59 citations) advanced understanding of how cerebral oscillatory activity responds to lower limb robotic movement, bridging a critical gap in rehabilitation neuroscience that had previously concentrated on upper limb research. Across her body of work, Del Felice consistently interrogates how exoskeleton training reshapes cortical activity, neuromuscular plasticity, and movement complexity. Her more recent investigations explore psychoaffective and cognitive factors shaping human-robot interaction, reflecting a holistic vision of personalized rehabilitation. Through rigorous experimental protocols and translational methodology, she has meaningfully advanced the evidence base for technology-driven motor neurorehabilitation.

Research Focus

Key Achievements

5
H-Index
8
Papers
260
Total Citations
33
Avg Citations/Paper
🏆 Most Cited Paper
A Systematic Review Establishing the Current State-of-the-Art, the Limitations, and the DESIRED Checklist in Studies of Direct Neural Interfacing With Robotic Gait Devices in Stroke Rehabilitation
137 citations · 2020
📈 Most Prolific Year: 2023 (2 Papers)
🤝 Key Collaborators: 36
🏛 Institutions: University of Padua

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
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