Mansur Ahmad
Papers
2
Total Citations
5
H-Index
2
About
Mansur Ahmad is a researcher focused on rehabilitation engineering and assistive technologies, with key contributions in functional electrical stimulation (FES) and brain-computer interfaces (BCI). His work addresses critical challenges in restoring motor function for individuals with spinal cord injury (SCI) and other neurological conditions. In his 2015 study, Ahmad developed a preliminary FES-cycling framework model aimed at improving paralyzed muscle function through controlled electrical stimulation, a foundational step toward more effective rehabilitation protocols. He further advanced the field in 2018 by exploring body motion control via brain signal response, proposing methods to optimize BCI capabilities beyond single-application limitations for robotic and rehabilitation uses. Though his citation counts (3 and 2, respectively) reflect an emerging career, his research bridges two transformative technologies—FES and BCI—to enhance mobility and independence. Ahmad’s work is notable for its integrative approach, seeking to combine neural interfaces with electrical stimulation for more adaptive, real-world assistive solutions. His efforts contribute to the growing intersection of neurorehabilitation and human-machine interaction, offering promising pathways for future clinical applications.
Research Focus
Key Achievements
Top Papers
- 1
- 2Body Motion Control via Brain Signal Response2 citations · 2018