Papers
18
Total Citations
227
H-Index
8
About
Marian-Silviu Poboroniuc is a leading researcher in neurorehabilitation engineering, specializing in brain-computer interfaces (BCI), functional electrical stimulation (FES), and robotic exoskeletons for stroke recovery. His pioneering work centers on developing hybrid rehabilitation systems that integrate motor imagery-based BCI with FES and robotic gloves to restore upper limb function in stroke survivors. His most cited paper (2018, 73 citations) demonstrates high classification accuracy for motor imagery BCI, enabling real-time control of FES devices for stroke rehabilitation training. Poboroniuc has made significant contributions to the design of intelligent haptic robotic gloves and fractional order control models for hand exoskeletons, advancing intention-driven therapy that combines robotic assistance with electrical stimulation. His research on hybrid FES-robot assisted hand motor training (2016, 40 citations) shows promise for sub-acute stroke survivors, offering more effective rehabilitation than traditional hands-on therapy. With over 200 total citations across his top papers, Poboroniuc’s work bridges the gap between neural signal processing and practical rehabilitation robotics, pushing toward clinical implementation of these systems for disabled patients. His notable achievements include developing the first hybrid FES-mechanical intelligent haptic robotic glove and demonstrating its potential to modify neural organization through intensive, repetitive training.
Research Focus
Key Achievements
Top Papers
- 1
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- 3BCI Application in Robotics Control19 citations · 2012
- 4Exoskeleton Hand Control by Fractional Order Models14 citations · 2019
- 5Design of a hybrid FES-mechanical intelligent haptic robotic glove10 citations · 2013
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- 9
- 10Post-stroke hand rehabilitation using a hybrid FES-robotic glove7 citations · 2016