Epileptic Seizure Prediction by Exploiting Signal Transitions Phenomena

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Phenomena"> <meta name="citation_author" content="Mohammad Zavid Parvez"> <meta name="citation_author" content="Manoranjan Paul"> <meta name="citation_publication_date" content="2015/11/02"> <meta name="citation_journal_title" content="International Journal of Medical and Health Sciences"> <meta name="citation_volume" content="9"> <meta name="citation_issue" content="12"> <meta name="citation_firstpage" content="844"> <meta name="citation_lastpage" content="848"> <meta name="citation_pdf_url" content="https://publications.waset.org/10003072/pdf"> <link href="https://cdn.waset.org/favicon.ico" type="image/x-icon" rel="shortcut icon"> <link href="https://cdn.waset.org/static/plugins/bootstrap-4.2.1/css/bootstrap.min.css" rel="stylesheet"> <link href="https://cdn.waset.org/static/plugins/fontawesome/css/all.min.css" rel="stylesheet"> <link href="https://cdn.waset.org/static/css/site.css?v=150220211555" rel="stylesheet"> </head> <body> <header> <div class="container"> <nav class="navbar 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Count:</strong> 33179</div> </div> </div> </div> <div class="card publication-listing mt-3 mb-3"> <h5 class="card-header" style="font-size:.9rem">Epileptic Seizure Prediction by Exploiting Signal Transitions Phenomena</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/search?q=Mohammad%20Zavid%20Parvez">Mohammad Zavid Parvez</a>, <a href="https://publications.waset.org/search?q=Manoranjan%20Paul"> Manoranjan Paul</a> </p> <p class="card-text"><strong>Abstract:</strong></p> A seizure prediction method is proposed by extracting global features using phase correlation between adjacent epochs for detecting relative changes and local features using fluctuation/ deviation within an epoch for determining fine changes of different EEG signals. A classifier and a regularization technique are applied for the reduction of false alarms and improvement of the overall prediction accuracy. The experiments show that the proposed method outperforms the state-of-the-art methods and provides high prediction accuracy (i.e., 97.70%) with low false alarm using EEG signals in different brain locations from a benchmark data set. <iframe src="https://publications.waset.org/10003072.pdf" style="width:100%; height:400px;" frameborder="0"></iframe> <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/search?q=Epilepsy" title="Epilepsy">Epilepsy</a>, <a href="https://publications.waset.org/search?q=Seizure" title=" Seizure"> Seizure</a>, <a href="https://publications.waset.org/search?q=Phase%20Correlation" title=" Phase Correlation"> Phase Correlation</a>, <a href="https://publications.waset.org/search?q=Fluctuation" title=" Fluctuation"> Fluctuation</a>, <a href="https://publications.waset.org/search?q=Deviation." title=" Deviation."> Deviation.</a> </p> <p class="card-text"><strong>Digital Object Identifier (DOI):</strong> <a href="https://doi.org/10.5281/zenodo.1110371" target="_blank">doi.org/10.5281/zenodo.1110371</a> </p> <a href="https://publications.waset.org/10003072/epileptic-seizure-prediction-by-exploiting-signal-transitions-phenomena" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/10003072/apa" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">APA</a> <a href="https://publications.waset.org/10003072/bibtex" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">BibTeX</a> <a href="https://publications.waset.org/10003072/chicago" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">Chicago</a> <a href="https://publications.waset.org/10003072/endnote" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">EndNote</a> <a href="https://publications.waset.org/10003072/harvard" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">Harvard</a> <a href="https://publications.waset.org/10003072/json" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">JSON</a> <a href="https://publications.waset.org/10003072/mla" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">MLA</a> <a href="https://publications.waset.org/10003072/ris" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">RIS</a> <a href="https://publications.waset.org/10003072/xml" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">XML</a> <a href="https://publications.waset.org/10003072/iso690" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">ISO 690</a> <a href="https://publications.waset.org/10003072.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">2482</span> </span> <p class="card-text"><strong>References:</strong></p> <br>[1] S. Santaniello, S. P. Burns, A. J. Golby, J. M. Singer, W. S. Anderson, and S. V. Sarma, "Quickest detection of drug-resistant seizures: An optimal control approach," Epilepsy & Behavior, vol. 22, pp. S49-S60, 2011. <br>[2] T. Netoff, P. Yun, and K. Parhi, "Seizure prediction using cost-sensitive support vector machine," Annual International Conference of the IEEE Engineering in Medicine and Biology Society, pp. 3322-3325, 2009. <br>[3] F. Mormann, R. G. Andrzejak, C. E. Elger, and K. Lehnertz, "Seizure prediction: the long and winding road," Brain, vol. 130, pp. 314–333, 2007. <br>[4] Epilepsy Australia: Epilepsy Information. (Feb, 2015). Available: http://www.epilepsyaustralia.net/Epilepsy_Information/Epilepsy_explai ned/Epilepsy_explained.aspx <br>[5] M. Z. Parvez and M. Paul, “Epileptic seizure detection by exploiting temporal correlation of electroencephalogram signals,” IET Signal Processing, vol. 9, no. 6, 467-475, 2015. <br>[6] M. Z. Parvez and M. Paul, "Epileptic seizure detection by analyzing EEG signals using different transformation techniques," Neurocomputing, vol. 145, pp. 190-200, 12/5/ 2014. <br>[7] V. L. Dorr, M. Caparos, F. Wendling, J. P. Vignal, and D. Wolf, "Extraction of reproducible seizure patterns based on EEG scalp correlations," Biomedical Signal Processing and Control, vol. 2, pp. 154-162, 2007. <br>[8] J.R. Williamson, D.W. Bliss, D.W. Browne, and J.T. Narayanan, "Seizure prediction using EEG spatiotemporal correlation structure," Epilepsy & Behavior, vol,. 25, no. 2, pp. 230-238, 2012. <br>[9] L. Chisci, A. Mavino, G. Perferi, M. Sciandrone, C. Anile, G. Colicchio, and F. Fuggetta, "Real-Time Epileptic Seizure Prediction Using AR Models and Support Vector Machines," IEEE Transactions on Biomedical Engineering, vol. 57, no. 5, pp. 1124-1132, 2010. <br>[10] P. Mirowski, D. Madhavan, Y. LeCun, and R. Kuzniecky, " Classification of patterns of EEG synchronization for seizure prediction," Clinical Neurophysiology, vol. 120, no. 11, pp. 1927-1940, 2009. <br>[11] Y. Park, L. Luo, K. K. Parhi, and T. Netoff, "Seizure prediction with spectral power of EEG using cost-sensitive support vector machines," Epilepsia, vol. 52, no. 10, pp. 1761-1770, 2011. <br>[12] S. Li, W. Zhou, Q. Yuan, and Y. Liu, “Seizure Prediction Using Spike Rate of Intracranial EEG,” IEEE Transactions on Neural Systems and Rehabilitation, vo. 21, no. 6, pp. 880-886, 2013. <br>[13] J. Rasekhi, M. R. K. Mollaei, M. Bandarabadi, C. A. Teixeira, and A. Dourado, "Preprocessing effects of 22 linear univariate features on the performance of seizure prediction methods," Journal of Neuroscience Methods, vol. 217, pp. 9–16, 2013. <br>[14] B. Schelter, M. Winterhalder, T. Maiwald, A. Brandt, A. Schad, J. Timmer, et al., "Do False Predictions of Seizures Depend on the State of Vigilance? A Report from Two Seizure-Prediction Methods and Proposed Remedies," Epilepsia, vol. 47, no. 12, pp. 2058-2070, 2006. <br>[15] EEG Data Set: Epilepsy Center of the University Hospital of Freiburg. (2012, June 10). Available: http://epilepsy.uni-freiburg.de/freiburgseizure- prediction-project/eeg-database. <br>[16] M. Parvez and M. Paul, “Epileptic Seizure Prediction by Exploiting Spatiotemporal Relationship of EEG Signals using Phase Correlation,” IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2015. <br>[17] M. Paul, W. Lin, C. T. Lau, and B. Lee, “Direct Intermode Selection for H.264 Video Coding Using Phase Correlation,” IEEE Transactions on Image Processing, vol. 20, no. 2, pp. 461-473, 2011. <br>[18] Y. Xie, Y. Ye, J. Zhang, L. Liu, and L. Liu, “A physics-based defects model and inspection algorithm for automatic visual inspection,” Optics and Lasers in Engineering, vol. 52, pp. 218-223, 2014. <br>[19] S. Abe, Support vector machine for pattern classification, Springer, 2010. <br>[20] J. A. K. Suykens and J. Vandewalle, “Least Squares Support Vector Machine Classifiers,” Neural Processing Letters, vol. 9, no. 3, pp. 293- 300, 1999. </div> </div> </div> </main> <footer> <div id="infolinks" class="pt-3 pb-2"> <div class="container"> <div style="background-color:#f5f5f5;" class="p-3"> <div class="row"> <div class="col-md-2"> <ul class="list-unstyled"> About <li><a href="https://waset.org/page/support">About Us</a></li> <li><a href="https://waset.org/page/support#legal-information">Legal</a></li> <li><a target="_blank" rel="nofollow" href="https://publications.waset.org/static/files/WASET-16th-foundational-anniversary.pdf">WASET celebrates its 16th foundational anniversary</a></li> </ul> </div> <div class="col-md-2"> <ul class="list-unstyled"> Account <li><a href="https://waset.org/profile">My Account</a></li> </ul> </div> <div class="col-md-2"> <ul class="list-unstyled"> Explore <li><a href="https://waset.org/disciplines">Disciplines</a></li> <li><a href="https://waset.org/conferences">Conferences</a></li> <li><a href="https://waset.org/conference-programs">Conference Program</a></li> <li><a href="https://waset.org/committees">Committees</a></li> <li><a href="https://publications.waset.org">Publications</a></li> </ul> </div> <div class="col-md-2"> <ul class="list-unstyled"> Research <li><a href="https://publications.waset.org/abstracts">Abstracts</a></li> <li><a href="https://publications.waset.org">Periodicals</a></li> <li><a href="https://publications.waset.org/archive">Archive</a></li> </ul> </div> <div class="col-md-2"> <ul class="list-unstyled"> Open Science <li><a target="_blank" rel="nofollow" href="https://publications.waset.org/static/files/Open-Science-Philosophy.pdf">Open Science Philosophy</a></li> <li><a target="_blank" rel="nofollow" href="https://publications.waset.org/static/files/Open-Science-Award.pdf">Open Science Award</a></li> <li><a target="_blank" rel="nofollow" href="https://publications.waset.org/static/files/Open-Society-Open-Science-and-Open-Innovation.pdf">Open Innovation</a></li> <li><a target="_blank" rel="nofollow" href="https://publications.waset.org/static/files/Postdoctoral-Fellowship-Award.pdf">Postdoctoral Fellowship Award</a></li> <li><a target="_blank" rel="nofollow" href="https://publications.waset.org/static/files/Scholarly-Research-Review.pdf">Scholarly Research Review</a></li> </ul> </div> <div class="col-md-2"> <ul class="list-unstyled"> Support <li><a href="https://waset.org/page/support">Support</a></li> <li><a href="https://waset.org/profile/messages/create">Contact Us</a></li> <li><a href="https://waset.org/profile/messages/create">Report Abuse</a></li> </ul> </div> </div> </div> </div> </div> <div class="container text-center"> <hr style="margin-top:0;margin-bottom:.3rem;"> <a href="https://creativecommons.org/licenses/by/4.0/" target="_blank" class="text-muted small">Creative Commons Attribution 4.0 International License</a> <div id="copy" class="mt-2">© 2025 World Academy of Science, Engineering and Technology</div> </div> </footer> <a href="javascript:" id="return-to-top"><i class="fas fa-arrow-up"></i></a> <div class="modal" id="modal-template"> <div class="modal-dialog"> <div class="modal-content"> <div class="row m-0 mt-1"> <div class="col-md-12"> <button type="button" class="close" data-dismiss="modal" aria-label="Close"><span aria-hidden="true">×</span></button> </div> </div> <div class="modal-body"></div> </div> </div> </div> <script src="https://cdn.waset.org/static/plugins/jquery-3.3.1.min.js"></script> <script src="https://cdn.waset.org/static/plugins/bootstrap-4.2.1/js/bootstrap.bundle.min.js"></script> <script src="https://cdn.waset.org/static/js/site.js?v=150220211556"></script> <script> jQuery(document).ready(function() { /*jQuery.get("https://publications.waset.org/xhr/user-menu", function (response) { jQuery('#mainNavMenu').append(response); });*/ jQuery.get({ url: "https://publications.waset.org/xhr/user-menu", cache: false }).then(function(response){ jQuery('#mainNavMenu').append(response); }); }); </script> </body> </html>

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Epileptic Seizure Prediction by Exploiting Signal Transitions Phenomena