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About

Elena Pirogova is a leading researcher at the intersection of biomedical engineering and neural rehabilitation, whose work is redefining how technology can restore motor function in individuals with neurological impairments. Her primary research areas include brain–computer interfaces (BCIs), error-related potentials (ErrPs), and assist-as-needed robotic therapy for stroke rehabilitation. Pirogova’s major contributions lie in demonstrating that error-related neural signals, recorded via electroencephalography (EEG), can be reliably detected during post-stroke rehabilitation movements—a finding that opens the door to adaptive, patient-responsive therapy systems. Her most cited work, a 2019 review on ErrP-based BCIs for motor-impaired people (61 citations), synthesizes the field’s potential to restore limb functionality and improve quality of life. She has also published influential studies classifying ErrPs during stroke rehabilitation training (17 citations) and exploring how psychological and cognitive states influence error-related negativity (10 citations). Through these efforts, Pirogova has advanced the development of closed-loop, assist-as-needed robotic systems that respond to a patient’s neural feedback in real time. Her research is not only technically rigorous but deeply human-centered, aiming to make rehabilitation more effective, engaging, and personalized for stroke survivors.