Pramoth Arun
Papers
1
Total Citations
5
H-Index
1
About
Pramoth Arun is a researcher at the intersection of biomedical engineering and artificial intelligence, with a primary focus on rehabilitation technologies for musculoskeletal disorders. His work centers on developing intelligent systems that enhance physiotherapy outcomes, particularly for conditions like knee osteoarthritis—a prevalent issue among individuals over 45. Arun’s most cited paper, “Deep Learning Based Muscle Intent Classification in Continuous Passive Motion Machine for Knee Osteoarthritis Rehabilitation” (2021, 5 citations), introduces a novel approach that uses deep learning to interpret muscle signals during continuous passive motion therapy. This contribution addresses a critical gap in post-surgery and physiotherapy rehabilitation, enabling machines to adapt to patient intent for more personalized and effective recovery. By integrating AI with rehabilitation robotics, Arun’s research aims to improve muscle strengthening and control, offering a pathway to better clinical outcomes. His work, though early in its citation impact, demonstrates a promising fusion of neural networks and biomechanics, positioning him as an emerging voice in smart rehabilitation systems. Arun’s dedication to translating computational methods into practical therapeutic tools underscores his potential to shape future assistive technologies.
Research Focus
Key Achievements
Top Papers
- 1