Abstract
A seizure prediction method is proposed by extractingglobal features using phase correlation between adjacent epochs fordetecting relative changes and local features usingfluctuation/deviation within an epoch for determining fine changes ofdifferent EEG signals. A classifier and a regularization technique areapplied for the reduction of false alarms and improvement of theoverall prediction accuracy. The experiments show that the proposedmethod outperforms the state-of-the-art methods and provides highprediction accuracy (i.e., 97.70%) with low false alarm using EEGsignals in different brain locations from a benchmark data set.
Original language | English |
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Title of host publication | ICBBT 2015 |
Place of Publication | Greece |
Publisher | World Scientific and Engineering Academy and Society |
Pages | 840-844 |
Number of pages | 5 |
Volume | 9 |
Edition | 12 |
Publication status | Published - 2015 |
Event | 17th International Conference on Bioinformatics and Biological Engineering (ICBBE 2015) - Park Inn Stockholm Hammarby Sjöstad, Stockholm, Sweden Duration: 13 Jul 2015 → 14 Jul 2015 https://waset.org/conference/2015/07/stockholm/ICBBE/home (Conference website) |
Conference
Conference | 17th International Conference on Bioinformatics and Biological Engineering (ICBBE 2015) |
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Country/Territory | Sweden |
City | Stockholm |
Period | 13/07/15 → 14/07/15 |
Other | The ICBBE 2015: 17th International Conference on Bioinformatics and Biological Engineering aims to bring together leading academic scientists, researchers and research scholars to exchange and share their experiences and research results about all aspects of Bioinformatics and Biological Engineering. It also provides the premier interdisciplinary forum for researchers, practitioners and educators to present and discuss the most recent innovations, trends, and concerns, practical challenges encountered and the solutions adopted in the field of Bioinformatics and Biological Engineering. |
Internet address |
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Epilepsy Seizure prediction using Electroencephalogram (EEG) signal analysis
Paul, M. (Creator) & Parvez, M. Z. (Creator)
Impact: Quality of life Impact