Ahsan H. Khandoker
University of Melbourne, Khalifa University of Science and Technology
Papers
6
Total Citations
28
H-Index
4
About
Ahsan H. Khandoker's research lies at the intersection of neurorehabilitation, biomedical signal processing, and human-robot interaction, with a focus on restoring motor function after neurological injury. His major contributions center on understanding how a patient's psychological state—specifically motivation, stress, and emotional engagement—influences the effectiveness of robot-assisted gait training. By analyzing heart rate asymmetry (HRA) and heart rate variability (HRV), Khandoker has pioneered methods to quantify parasympathetic nervous system involvement during rehabilitation, demonstrating that task difficulty and emotional responsiveness directly impact learning outcomes in post-stroke patients. His work has shown that stroke location affects autonomic regulation during therapy, and he has explored the use of serious games and auto-adaptive robotic systems to dynamically adjust challenge levels for optimal patient engagement. While his citation counts (ranging from 3 to 7 per paper) reflect a focused, emerging body of work, his research at ETH Zurich has laid important groundwork for closed-loop neurorehabilitation systems that adapt in real-time to a patient's physiological and psychological state. Khandoker's interdisciplinary approach bridges engineering, neuroscience, and clinical therapy, offering a path toward more personalized and effective rehabilitation for stroke and brain injury survivors.
Research Focus
Key Achievements
Top Papers
- 1Heart rate asymmetry and emotional response to robot-assist task challenges in post-stroke patients7 citations · 2011
- 2
- 3Human balance responses to perturbations in the horizontal plane5 citations · 2014
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- 6