Kabita Adhikari
Papers
2
Total Citations
31
H-Index
2
About
Kabita Adhikari is a researcher specializing in biomedical signal processing and surgical robotics, with a particular focus on addressing the challenges of physiological tremor in robotic microsurgery. Her work tackles a fundamental problem that has long limited the precision of robotic-assisted surgical systems: the accurate isolation and filtering of involuntary hand tremor from the intentional movements of microsurgeons. Adhikari's most influential contribution, "Physiological Tremor Filtering Without Phase Distortion for Robotic Microsurgery" (2020, 20 citations), revisited a longstanding limitation in the field — the phase distortion introduced by conventional nonlinear phase prefilters — and proposed a more accurate filtering solution. Complementing this, her 2018 work on multi-step tremor prediction using random quaternion neurons (11 citations) demonstrated innovative application of advanced neural architectures to compensate for phase-lag inherent in digital filters, improving real-time tremor separation in hand-held robotic instruments. Together, these contributions reflect Adhikari's commitment to bridging signal processing theory and practical surgical robotics, with meaningful implications for patient safety and surgical precision. Her research is particularly valuable to engineers and clinicians working to enhance the capabilities of next-generation microsurgical systems.
Research Focus
Key Achievements
Top Papers
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