Fahrul Isman
Papers
1
Total Citations
2
H-Index
1
About
Fahrul Isman is a researcher focused on biomedical engineering and rehabilitation technology, with a particular emphasis on post-stroke recovery. His work centers on developing intelligent systems to assess and enhance motor function in stroke survivors, especially in upper limb rehabilitation. Isman’s most cited paper, “Hand motion strength forecasting using Extreme Learning Machine for post-stroke rehabilitation” (2021), introduces a novel approach to predicting hand movement strength using machine learning, enabling more precise and adaptive rehabilitation protocols. This research addresses the critical need for objective, data-driven tools to monitor recovery progress and tailor therapy to individual patients. While his citation count is currently modest, the work represents an important step toward integrating artificial intelligence into clinical rehabilitation settings. Isman’s contributions lie at the intersection of neural network modeling and assistive technology, aiming to restore independence and quality of life for stroke survivors. His research holds promise for advancing personalized rehabilitation strategies, making him a notable emerging voice in the field of neurorehabilitation engineering.
Research Focus
Key Achievements
Top Papers
- 1