Saad Jawaid Khan
Papers
1
Total Citations
7
H-Index
1
About
Dr. Saad Jawaid Khan has established himself as a key contributor to the fields of rehabilitation engineering, assistive technology, and biosignal processing. His research focuses on advancing prosthetic control systems through the intelligent analysis of electromyography (EMG) signals. In his most cited work, "Intramuscular EMG feature extraction and evaluation at different arm positions and hand postures based on a statistical criterion method," Dr. Khan tackles the critical challenge of robust feature selection for pattern recognition in myoelectric control. By systematically evaluating EMG features across varying limb positions and hand gestures, his work provides a statistical framework that enhances the reliability and adaptability of prostheses, directly impacting the development of more intuitive and functional assistive devices. This study, accumulating 7 citations, underscores his commitment to bridging machine learning with real-world clinical applications. Dr. Khan’s contributions are vital for researchers and engineers striving to create seamless human-machine interfaces, making him a notable figure in the ongoing evolution of rehabilitation technology.
Research Focus
Key Achievements
Top Papers
- 1