Iris Brunner

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About

Iris Brunner is a leading researcher in neurorehabilitation engineering, specializing in brain-computer interfaces (BCIs) and assistive technologies for post-stroke recovery. Her work focuses on developing flexible, intelligent systems that bridge neural activity with robotic assistance to restore motor function in stroke survivors. In her comprehensive 2021 review, Brunner systematically analyzed emerging technologies for advanced post-stroke rehabilitation, establishing a critical framework that has garnered 34 citations for guiding future device development. She further advanced the field with her 2022 study on motor imagery EEG signal classification, where she demonstrated novel methods for translating neural signals into customized robotic commands—a breakthrough for treating motor-impaired patients whose brain activity patterns are altered by stroke. With over 15 citations on this work alone, Brunner’s contributions are shaping how BCIs can be tailored to individual neural variability. Her research stands at the intersection of signal processing, machine learning, and clinical rehabilitation, offering practical pathways for non-invasive, patient-specific recovery tools. Brunner’s work is essential reading for anyone interested in the future of neurorehabilitation and human-machine interfaces.