Maryam Khademi
Papers
1
Total Citations
6
H-Index
1
About
Maryam Khademi’s research lies at the intersection of rehabilitation robotics, human motor control, and augmented reality, with a focus on developing accessible, low-cost tools for assessing and restoring motor function. Her most cited work, “Real-time Measurement of Arm’s Mechanical Impedance with Augmented Reality Illustration” (2012, 6 citations), addresses a critical gap in clinical practice: the reliance on subjective, qualitative assessments like the Fugl-Meyer scale for evaluating motor impairments after stroke or neurological disease. Khademi pioneered a method that combines real-time mechanical impedance measurement with augmented reality visualization, offering an objective, quantitative alternative to traditional, costly robotic systems. This innovation not only enhances the precision of motor function assessment but also democratizes access to advanced rehabilitation technology. Her contributions are particularly notable for bridging engineering and clinical neuroscience, demonstrating how interactive, low-cost platforms can transform patient care. Though her citation count is modest, the conceptual impact of her work—championing affordable, real-time, and user-friendly diagnostic tools—positions her as a forward-thinking researcher in neurorehabilitation engineering, with implications for both clinical practice and future assistive technologies.
Research Focus
Key Achievements
Top Papers
- 1