Pancham D'cunha
Papers
1
Total Citations
29
H-Index
1
About
Pancham D’cunha is a researcher whose work lies at the intersection of biomedical signal processing and neural engineering, with a particular focus on improving the quality of electroencephalography (EEG) data. His most cited paper, "Classification of Artefacts in EEG Signal Recordings and EOG Artefact Removal using EOG Subtraction" (2016, 29 citations), addresses a fundamental challenge in brain-computer interface research: the contamination of neural recordings by physiological and external noise. D’cunha systematically classified artefacts—from eye movements (EOG) to muscle activity—and demonstrated a robust method for their removal using EOG subtraction, a technique that enhances the fidelity of neural signals without sacrificing data integrity. This contribution is critical for researchers developing real-world EEG applications, from clinical diagnostics to cognitive state monitoring. By tackling the pervasive issue of signal corruption, D’cunha’s work has provided a practical toolkit for cleaner, more reliable brain data analysis. His research continues to influence the design of preprocessing pipelines in neuroscience, making him a notable figure in the ongoing effort to bridge raw neural signals and meaningful interpretation.
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Top Papers
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