Mohd Amiruddin Fikri
Papers
1
Total Citations
11
H-Index
1
About
Mohd Amiruddin Fikri is a dedicated researcher in rehabilitation robotics and assistive technologies, with a primary focus on developing intelligent systems for stroke recovery. His most cited work, "Arm Exoskeleton for Rehabilitation Following Stroke by Learning Algorithm Prediction" (2014, 11 citations), introduces a novel approach to upper-limb motor function rehabilitation by integrating machine learning prediction algorithms into an arm exoskeleton. This contribution addresses a critical need for more adaptive, patient-specific rehabilitation devices that can support bilateral movement practice for stroke survivors. By combining robotics with predictive learning, Fikri’s research aims to enhance the effectiveness and personalization of therapy, potentially improving recovery outcomes for individuals with motor disabilities. His work sits at the intersection of biomedical engineering, control systems, and artificial intelligence, offering practical solutions for restoring hand and arm function. Though his citation count reflects a focused, early-career impact, his contributions are significant for advancing accessible, intelligent rehabilitation tools that can be deployed in clinical or home settings. Fikri’s research represents a meaningful step toward more responsive, data-driven assistive devices for neurological rehabilitation.
Research Focus
Key Achievements
Top Papers
- 1