EDITORIAL article
Front. Neuroinform.
Volume 19 - 2025 | doi: 10.3389/fninf.2025.1637890
This article is part of the Research TopicAdvanced EEG Analysis Techniques for Neurological DisordersView all 10 articles
Editorial: Advanced EEG Analysis Techniques for Neurological Disorders
Provisionally accepted
- 1Sree Chitra Thirunal College of Engineering, Trivandrum, India
- 2Independent researcher, Trivandrum, India
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Electroencephalogram or EEG analysis has undergone a profound transformation with the addition of 5 advanced artificial intelligence and computational methods to the domain. Contemporary EEG analysis 6 expands beyond traditional methods that relied on visual inspection, employing refined algorithms that are The technical summaries that follow are intended to provide an overview of recent and impactful peer-13 reviewed research that illustrates advanced approaches that address critical challenges in neurological care.
Keywords: electroencephalogram (EEG), large language model (LLM), neurological disorders, visualization of EEG, Brain computer interface (BCI)
Received: 29 May 2025; Accepted: 02 Jun 2025.
Copyright: © 2025 Jacob and Chandrasekharan Nair. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence:
Jisu Elsa Jacob, Sree Chitra Thirunal College of Engineering, Trivandrum, India
Sreejith Chandrasekharan Nair, Independent researcher, Trivandrum, India
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