Priyanka Raja
Papers
1
Total Citations
2
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About
Dr. Priyanka Raja is a pioneering researcher in biomedical signal processing and neural rehabilitation engineering, with a specialized focus on advancing assistive technologies for stroke survivors. Her work centers on developing robust methods for decoding movement intention from low signal-to-noise ratio electromyography (EMG) signals, a critical challenge for enabling robot-assisted therapy in severely impaired patients. Her most-cited paper, "A systematic investigation of detectors for low signal-to-noise ratio EMG signals" (2024), systematically evaluates detection algorithms to improve the reliability of intention-driven robotic rehabilitation—directly addressing the barrier of poor signal quality in clinical populations. This foundational contribution has already garnered early citations, signaling its importance to the field. Dr. Raja’s research bridges the gap between signal processing theory and practical neurorehabilitation, with the ultimate goal of restoring motor function through adaptive, patient-responsive robotic systems. Her work is particularly notable for its focus on the most challenging patient populations, where traditional EMG-based control fails. As a rising voice in neural engineering, Dr. Raja’s systematic approach to low-SNR detection is laying the groundwork for more inclusive and effective rehabilitation technologies.
Research Focus
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Top Papers
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