Eva Maria Hammer

Papers

Total Citations

217

H-Index

About

Eva Maria Hammer is a leading researcher in neural engineering, with a primary focus on brain-computer interfaces (BCI) and neuroprosthetics. Her most influential work investigates the critical role of proprioceptive feedback in BCI control, demonstrating how sensory input shapes brain oscillations and enhances the performance of motor neurorehabilitation systems. Her landmark 2012 study, cited over 217 times, pioneered the integration of real-time proprioceptive feedback with BCI-driven neuroprostheses, advancing the design of more intuitive and effective assistive technologies for individuals with motor impairments. Hammer’s contributions bridge fundamental neuroscience and applied rehabilitation engineering, showing how closed-loop sensory feedback can improve neural decoding and user control. Her research has significant implications for restoring movement after stroke or spinal cord injury, and her work is widely recognized for its impact on both BCI methodology and clinical neurorehabilitation. Through her innovative experiments, Hammer has helped shape the next generation of adaptive, feedback-driven neural interfaces.