Maryam Butt
Papers
6
Total Citations
28
H-Index
4
About
Maryam Butt is a biomedical engineering researcher whose work sits at the intersection of neuroscience, rehabilitation technology, and brain-computer interface (BCI) systems. Her research focuses primarily on EEG-based stroke rehabilitation, with a particular emphasis on harnessing neural signals to guide and enhance robot-assisted motor recovery in post-stroke patients. Butt's most significant contributions involve developing and validating EEG-BCI frameworks that detect motor intention signals, enabling more responsive and patient-specific rehabilitation protocols. Her 2019 study investigating intention signal detection during robotic hand movement — her most cited work with 8 citations — demonstrated the feasibility of integrating brain-derived signals with robotic assistive devices to meaningfully improve hand motor function in stroke survivors. Complementing this, her research on neuroplasticity assessment using EEG signals offers clinicians a window into the brain's adaptive recovery processes during robot-assisted training. Across her portfolio of six key publications spanning 2018 to 2021, accumulating over 28 citations, Butt has consistently advanced the understanding of movement-related cortical potentials and their clinical utility in rehabilitation. Her work represents a valuable contribution to the growing field of closed-loop neurorehabilitation, offering practical pathways toward more personalized, effective recovery strategies for individuals living with post-stroke motor impairments.
Research Focus
Key Achievements
Top Papers
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