Choudhary Sobhan Shakeel
Papers
1
Total Citations
7
H-Index
1
About
Choudhary Sobhan Shakeel is a researcher whose work sits at the intersection of biomedical signal processing, rehabilitation engineering, and human-machine interaction. His primary focus is on advancing prostheses control 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" (2022, 7 citations), Shakeel tackles a critical challenge in assistive technology: the variability of muscle signals across different limb positions and hand gestures. He introduces a rigorous, statistical criterion-based approach to identify the most robust and discriminative features for pattern recognition, directly improving the reliability of myoelectric control systems. This contribution is vital for developing more intuitive and responsive prosthetic limbs. By systematically evaluating feature sets under dynamic conditions, Shakeel’s research provides a foundational methodology that enhances the performance of machine learning classifiers in real-world applications, marking him as a promising voice in the drive toward seamless, natural control of assistive devices.
Research Focus
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Top Papers
- 1