Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Conference Papers Conference Paper Faculty Publications- Conference Papers Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Exploration and Analysis of Seizure Spikes Through Spectral Domain Transformation Subject The topic of the resource Correlation analysis; EEG; Epilepsy; Frequency spectrum; Magnitude spectrum; Seizure; Spectral transformation; T-SNE Description An account of the resource Seizure detection is the most crucial area of investigation when it comes to understanding brain disorders. This proposed research study embarked on an automated model for epileptic seizure diagnosis by means of different kinds of Spectral transformation using EEG inputs from seizure sufferers and healthy subjects. This automated model accommodates non-invasive brain electrical activity monitoring. This method aims to facilitate the analysis and identification of epileptic seizure states since, monitoring and diagnosing such brain electrical activity is a complex task due to its numerous divisions and underlying features. The primary objective of this research study is to distinguish between EEG-based seizures and healthy individuals. To achieve this goal, a combination of spectral transformation and EEG analysis techniques is utilized. These techniques include examining the frequency spectrum, magnitude spectrum, correlation, and T-Distributed Stochastic Neighboring Embedding (T-SNE) analysis. This analysis yields valuable insights from EEG data, refining the input data and making it more suitable for prediction and identification. The models performance is evaluated using two distinct datasets: real-time EEG data from individuals experiencing epileptic seizures and EEG data from healthy subjects. These datasets are sourced from the Bangalore EEG Epilepsy Dataset (BEED), India and the BONN epilepsy dataset from the UCI repository. In a comparative study of spectral transformation methods, including Complex Fast Fourier Transform (CFFT) and Real-Valued Fast Fourier Transform (RFFT), it is discovered that reducing the data dimension by using feature extraction is not the optimal approach. This simplification leads to the loss of valuable information. Therefore, preserving the full spectrum of EEG characteristics is crucial for gaining valuable insights into brain neuronal functions, ultimately enabling more accurate seizure prediction. The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024. Creator An entity primarily responsible for making the resource Najmusseher; Nizar Banu P.K.; Azar A.T.; Kamal N.A.; Alzahrani A. Source A related resource from which the described resource is derived Smart Innovation, Systems and Technologies, Vol-394 SIST, pp. 99-113. Publisher An entity responsible for making the resource available Springer Science and Business Media Deutschland GmbH Date A point or period of time associated with an event in the lifecycle of the resource 2023-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1007/978-981-97-3980-6_9" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-981-97-3980-6_9</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85208914333&amp;doi=10.1007%2F978-981-97-3980-6_9&amp;partnerID=40&amp;md5=c74d128040a709d05380518b2c84ec50" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85208914333&amp;doi=10.1007%2f978-981-97-3980-6_9&amp;partnerID=40&amp;md5=c74d128040a709d05380518b2c84ec50</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 21903018; ISBN: 978-981973979-0 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Conference paper Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Najmusseher, Department of Computer Science, CHRIST (Deemed to Be University) Central Campus, Karnataka, Bangalore, India; Nizar Banu P.K., Department of Computer Science, CHRIST (Deemed to Be University) Central Campus, Karnataka, Bangalore, India; Azar A.T., College of Computer and Information Sciences, Prince Sultan University, Riyadh, 11586, Saudi Arabia, Faculty of Computers and Artificial Intelligence, Benha University, Benha, 13518, Egypt, Automated Systems and Soft Computing Lab (ASSCL), Prince Sultan University, Riyadh, Saudi Arabia; Kamal N.A., Faculty of Engineering, Cairo University, Giza, Egypt; Alzahrani A., Department of Computer Engineering and Science, Faculty of Computer Science and Information Technology, Al-Baha University, Al-Baha, Saudi Arabia