Avinash Tandle

Narsee Monjee Institute of Management Studies

Papers

Total Citations

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About

Avinash Tandle is a researcher dedicated to advancing the quality and reliability of electroencephalography (EEG) signal processing. His primary research focus lies in the critical area of artefact detection and removal from EEG recordings, a fundamental challenge in neurophysiological data analysis. Dr. Tandle’s major contributions include comprehensive classification systems for EEG artefacts, distinguishing between physiological sources—such as eye movements, muscle activity, and cardiac signals—and external environmental noise. His seminal work, "Classification of Artefacts in EEG Signal Recordings and Overview of Removing Techniques" (2015), has garnered 29 citations, establishing a foundational framework for researchers. Building on this, his 2016 paper, "Classification of Artefacts in EEG Signal Recordings and EOG Artefact Removal using EOG Subtraction," also with 29 citations, introduced a practical, targeted method for eliminating electrooculographic (EOG) artefacts. By systematically categorizing noise sources and demonstrating effective removal techniques, Dr. Tandle has provided essential tools that enhance the accuracy of brain-computer interfaces and clinical EEG diagnostics. His work remains a key reference for students and engineers striving to clean neural signals, ensuring that subsequent analyses reflect true brain activity rather than contamination.