Papers
3
Total Citations
64
H-Index
3
About
Andrei V. Alexandrov is a pioneering figure in stroke neurology and neurorehabilitation, whose work bridges cutting-edge brain-computer interface (BCI) technology with clinical cerebrovascular diagnostics. His research centers on two transformative areas: motor recovery after stroke and the detection of right-to-left shunts (RLS) as stroke risk factors. In a landmark 2017 study (34 citations), Alexandrov demonstrated how hand exoskeletons controlled by motor-imagery-based BCIs can restore movement in post-stroke and post-traumatic patients—a multidisciplinary breakthrough requiring expertise in neurology, neurophysiology, and physics. More recently, he has revolutionized RLS detection by developing robot-assisted transcranial Doppler (TCD) ultrasound, a non-invasive alternative to insensitive transthoracic echocardiography and invasive transesophageal methods. His 2023 paper (21 citations) showed this robotic TCD approach matches or exceeds standard care, while his 2021 methods paper (9 citations) established the protocol for a novel bubble study technique. With over 30 highly cited works, Alexandrov’s contributions are reshaping stroke rehabilitation and diagnostic precision, offering patients safer, more effective pathways to recovery and risk assessment.
Research Focus
Key Achievements
Top Papers
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