About

Alexander Frolov is a leading researcher at the intersection of neurorehabilitation, robotics, and brain-computer interfaces (BCIs), with a primary focus on restoring motor function in post-stroke and post-traumatic patients. His most influential work, with 34 citations, establishes the principles of motor recovery using hand exoskeletons controlled by motor imagery-based BCIs, demonstrating that this multidisciplinary approach—integrating neurology, neurophysiology, and physics—can significantly enhance rehabilitation outcomes. Frolov’s contributions extend to foundational robotics: his human-inspired eigenmovement concept (24 citations) provides a parsimonious, coupling-free sensorimotor control method for humanoid robots, offering a theoretical framework that mirrors human hip-ankle coordination. He has also advanced clinical practice through a comprehensive review of robotic devices in post-stroke rehabilitation (21 citations) and explored the role of multisensory feedback in BCI-driven ideomotor training for upper limb recovery. By merging cutting-edge BCI technology with robotic exoskeletons, Frolov’s work not only deepens our understanding of motor recovery mechanisms but also paves the way for more effective, patient-centered neurorehabilitation tools.

Research Focus

Key Achievements

3
H-Index
4
Papers
82
Total Citations
21
Avg Citations/Paper
🏆 Most Cited Paper
PRINCIPLES OF MOTOR RECOVERY IN POST-STROKE PATIENTS USING HAND EXOSKELETON CONTROLLED BY THE BRAIN-COMPUTER INTERFACE BASED ON MOTOR IMAGERY
34 citations · 2017
📈 Most Prolific Year: 2017 (2 Papers)
🤝 Key Collaborators: 13
🏛 Institutions: VSB - Technical University of Ostrava, Pirogov Russian National Research Medical University, Institute of Higher Nervous Activity and Neurophysiology

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago