Papers
1
Total Citations
2
H-Index
1
About
Monica Fira is a researcher whose work centers on biomedical signal processing, with a particular focus on electroencephalography (EEG) and the detection of event-related potentials. Her most cited paper, "On P300 Detection using Scalar Products" (2018), introduces a computationally efficient algorithm for identifying the P300 wave—a key brain signal used in brain-computer interfaces and cognitive assessment. By leveraging scalar products with signals of various shapes, Fira’s method offers a simple yet effective alternative to more complex detection techniques, balancing accuracy with low computational demands. This contribution is especially valuable for real-time applications where processing speed is critical. With 2 citations, this work has laid groundwork for further exploration in P300-based systems. Fira’s research demonstrates a commitment to developing accessible, practical tools for neural signal analysis, making her a notable figure in the intersection of signal processing and neuroscience. Her approach continues to inspire students and researchers seeking efficient solutions in biomedical engineering.
Research Focus
Key Achievements
Top Papers
- 1On P300 Detection using Scalar Products2 citations · 2018