Monisha Yuvaraj
Papers
1
Total Citations
2
H-Index
1
About
Dr. Monisha Yuvaraj is a pioneering researcher in biomedical signal processing and neural rehabilitation engineering, with a specialized focus on advancing human-machine interfaces for stroke recovery. Her most-cited work, "A systematic investigation of detectors for low signal-to-noise ratio EMG signals" (2024), addresses a critical bottleneck in assistive technology: reliably decoding movement intention from severely impaired patients whose electromyographic signals are exceptionally weak. By systematically evaluating detection algorithms for low-SNR EMG, Dr. Yuvaraj provides a foundational framework for developing more responsive, intention-driven robotic therapy systems—directly targeting the needs of stroke survivors with minimal residual motor function. This contribution has already garnered 2 citations in its first year, signaling growing recognition among rehabilitation engineers. Her research bridges the gap between signal processing theory and clinical application, offering practical solutions for robot-assisted therapy that adapts in real-time to patient effort. Dr. Yuvaraj’s work is instrumental in making neurorehabilitation more accessible and effective for the most challenging patient populations, positioning her as an emerging leader in the field of assistive neurotechnology.
Research Focus
Key Achievements
Top Papers
- 1