Papers
2
Total Citations
20
H-Index
2
About
Ila Sharma is a researcher specializing in biomedical signal processing, with a primary focus on electromyography (EMG) signals and their applications in rehabilitation engineering and robotics. Her work addresses the entire pipeline of EMG-based systems, from signal acquisition and time-frequency analysis to feature extraction and classification. Sharma’s most cited paper, “Signal Acquisition and Time–Frequency Perspective of EMG Signal-based Systems and Applications” (2023), has garnered 17 citations, providing a comprehensive overview of how EMG signals are captured and analyzed for clinical and engineering uses. She further contributed a novel “Onset Based Approach for Feature Extraction and Classification of EMG Signals” (2022), which enhances the precision of control systems in prosthetics and assistive devices. By improving how EMG signals are processed and interpreted, Sharma’s research directly impacts the development of more responsive and intuitive human-machine interfaces. Her work is particularly valuable for students and researchers exploring non-invasive signal processing techniques, as it bridges the gap between raw physiological data and practical, real-world applications in healthcare and robotics.
Research Focus
Key Achievements
Top Papers
- 1
- 2