About

Surjo R. Soekadar is a pioneering neuroscientist and rehabilitation engineer whose work sits at the intersection of brain-computer interfaces (BCIs), neuroprosthetics, and clinical neurorehabilitation. His research has fundamentally advanced our understanding of how neural signals can be harnessed to restore lost motor function in individuals affected by stroke and spinal cord injury. Soekadar's most celebrated contribution — a hybrid EEG/EOG-based brain-neural hand exoskeleton enabling quadriplegic patients to independently perform daily living activities — has garnered over 240 citations and represents a landmark achievement in translational neuroscience. His broader body of work, including influential reviews on brain-machine interfaces in stroke rehabilitation (330 citations) and BCI-combined physical therapy protocols, has shaped clinical thinking on recovery strategies for patients with chronic, severe paralysis. With multiple highly cited papers from 2014 alone, Soekadar demonstrated exceptional productivity during a formative period for the field. His research addresses not only technical challenges — such as signal non-stationarity and intuitive exoskeleton control — but also real-world clinical readiness and accessibility of these technologies. His work offers genuine hope for the millions worldwide living with motor disabilities following neurological injury.

Research Focus

Key Achievements

15
H-Index
20
Papers
1,450
Total Citations
73
Avg Citations/Paper
🏆 Most Cited Paper
Brain–machine interfaces in neurorehabilitation of stroke
330 citations · 2014
📈 Most Prolific Year: 2014 (5 Papers)
🤝 Key Collaborators: 63
🏛 Institutions: University of Tübingen, University Children's Hospital Tübingen, Charité - Universitätsmedizin Berlin, National Institutes of Health

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago