Papers
5
Total Citations
19
H-Index
3
About
Hasan Imam’s research lies at the intersection of neurorehabilitation, human-robot interaction, and psychophysiological monitoring, with a focus on improving recovery outcomes for stroke and brain-injured patients. His pioneering work explores how heart rate variability (HRV) and heart rate asymmetry (HRA) can serve as real-time biomarkers of emotional engagement and stress during robot-assisted gait training. By integrating closed-loop adaptive systems with virtual reality, Imam has advanced the concept of dynamic difficulty adaptation—tailoring task challenges to a patient’s mental state to optimize motor learning and rehabilitation efficacy. His studies, such as those examining cortical responses and stroke location effects on autonomic regulation, have laid groundwork for personalized neurorehabilitation protocols. Though his citation counts remain modest (e.g., 7 citations for his 2011 paper on HRA and emotional response), his contributions are notable for their interdisciplinary rigor, combining robotics, neuroscience, and physiological sensing. Additionally, Imam’s work on internet-controlled robotic vehicles demonstrates his broader engineering versatility. His research offers a compelling vision for closed-loop, patient-centered rehabilitation technologies that respond not just to physical movement, but to the mind.
Research Focus
Key Achievements
Top Papers
- 1Heart rate asymmetry and emotional response to robot-assist task challenges in post-stroke patients7 citations · 2011
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