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Declaration

Published On: International Journal of Engineering and Advanced Technology (IJEAT)

Published By: Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP)

Conflicts of Interest: Based on my understanding, this article has no conflicts of interest.

Funding Support: This article has not been sponsored or funded by any organisation or agency. The independence of this research is crucial to affirming its impartiality, as it has been conducted without external influence.

Ethical Approval and Consent to Participate: The data provided in this article are exempt from the requirement for ethical approval or participant consent.

Data Access Statement and Material Availability: The full FFT–2D CNN training and classification notebook is openly archived on Zenodo [27].

Authors Contributions: Aahana Bisoi took the lead on this study. She came up with the research idea, put together the first draft, and handled key parts of the project. She focused on developing the FFT-2D CNN method, dealing with data from the CHB-MIT and Siena sets, designing the classification system and setting up the software, and evaluating the models. Dr Shashivadhanan Sundaravadhanan gave high-level guidance and provided his perspective on the classification system. Dr Achint Krishna offered his expertise on EEG markers and data classification. He made sure the output was correctly interpreted and that patient info was handled responsibly. Ajitav Sahoo provided technical assistance to Aahana Bisoi in refining the 2D FFT CNN. He also reviewed the relevant sections of the manuscript.