Helma Devina
Papers
1
Total Citations
2
H-Index
1
About
Helma Devina’s research lies at the intersection of medical robotics, image-guided intervention, and embedded control systems. Her most cited work, from 2019, tackles a critical challenge in ultrasound-guided needle insertion: achieving precise, coordinated motion of two stepper motors to simulate medical needle punctures. By rigorously evaluating Bresenham’s algorithm against the Digital Differential Analyzer (DDA) for motor control, she demonstrated how line-drawing algorithms—typically used in computer graphics—can be repurposed for robotic trajectory planning. This contribution directly addresses the need for consistent needle visibility in ultrasound imaging, a factor dependent on both transducer specifications and needle acoustics. Although her citation count is modest (2 citations for this paper), the work’s practical implications for improving the accuracy and safety of minimally invasive procedures are significant. Devina’s research exemplifies how foundational algorithms can be creatively adapted to solve real-world medical robotics problems, offering a valuable bridge between theoretical computer science and clinical application. Her approach is particularly relevant for students and researchers exploring low-cost, high-precision control systems in medical simulation and training.
Research Focus
Key Achievements
Top Papers
- 1