Meike Fels
Papers
3
Total Citations
158
H-Index
3
About
Dr. Meike Fels is a pioneering researcher at the intersection of neuroscience and rehabilitation engineering, whose work fundamentally advances our understanding of brain–robot interfaces (BRIs) and neurofeedback systems. Her research focuses on bridging the critical gap between motor imagery and actual motor execution, a challenge central to developing effective neurorehabilitation technologies for patients with motor impairments. In her landmark 2014 study (96 citations), Dr. Fels demonstrated how closed-loop brain–robot interfaces can translate imagined movements into tangible robotic actions, creating a powerful platform for motor recovery. She further revolutionized the field by showing that adaptive neurofeedback protocols—which dynamically adjust difficulty based on a user’s mental effort—can significantly enhance the brain’s ability to self-regulate, a finding with profound implications for treating neurological disorders. Her 2015 investigation into cortical resting-state networks revealed that an individual’s baseline neural activity patterns can predict their workload and performance across both BRI and electromyographic neurofeedback tasks, distinguishing stable personal traits from task-specific challenges. This work provides a critical framework for personalizing rehabilitation strategies. With over 150 total citations, Dr. Fels’ research continues to shape how we design intelligent, adaptive neurotechnologies that empower patients to regain motor function through the power of their own brain activity.
Research Focus
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Top Papers
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