Epileptic Seizures Detection Based on Non-linear Characteristics Coupled with Machine Learning Techniques

Edited book (chapter)

Miften, Firas Sabar, Diykh, Mohammed, Abdulla, Shahab and Green, Jonathan H.. 2020. "Epileptic Seizures Detection Based on Non-linear Characteristics Coupled with Machine Learning Techniques." Rahman, Atta-ur- and Amtul, Zareen (ed.) Frontiers in Clinical Drug Research: CNS and Neurological Disorders. Sharjah, United Arab Emirates. Bentham Science Publishers. pp. 23-39
Chapter Title

Epileptic Seizures Detection Based on Non-linear Characteristics Coupled with Machine Learning Techniques

Book Chapter CategoryEdited book (chapter)
ERA Publisher ID1317
Book TitleFrontiers in Clinical Drug Research: CNS and Neurological Disorders
AuthorsMiften, Firas Sabar (Author), Diykh, Mohammed (Author), Abdulla, Shahab (Author) and Green, Jonathan H. (Author)
EditorsRahman, Atta-ur- and Amtul, Zareen
Volume7
Page Range23-39
SeriesFrontiers in Clinical Drug Research
Chapter Number2
Number of Pages17
Year2020
PublisherBentham Science Publishers
Place of PublicationSharjah, United Arab Emirates
ISBN9789811447501
9789811447525
ISSN2451-8883
2214-7527
Digital Object Identifier (DOI)https://doi.org/10.2174/97898114475251200701
Web Address (URL)https://benthambooks.com/book/9789811447525/chapter/181761/
Abstract

The use of transformation techniques (such as a wavelet transform, Fourier transform, or hybrid transform) to detect epileptic seizures by means of EEG signals is not adequate because these signals have a nonstationary and nonlinear nature. This paper reports on the design of a novel technique based, instead, on the domain of graphs. The dimensionality of each single EEG channel is reduced using a segmentation technique, and each EEG channel is then mapped onto an undirected weighted graph. A set of structural and topological graph characteristics is extracted and investigated, and several machine learning techniques are utilized to categorize the graph’s attributes. The results demonstrate that the use of graphs improves the quality of epileptic seizure detection. The proposed method can identify EEG abnormities that are difficult to detect accurately using other transformation techniques, especially when dealing with EEG big data.

KeywordsEpileptic Seizures; Epileptic EEG Signals; Graphs; Modularity; Multi-Channel; Statistical Features
ANZSRC Field of Research 2020429999. Other health sciences not elsewhere classified
Byline AffiliationsUniversity of Thi-Qar, Iraq
Faculty of Health, Engineering and Sciences
USQ College
Institution of OriginUniversity of Southern Queensland
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Abdulla, Shahab and Wen, Peng. 2011. "Depth of anaesthesia patient models and control." Guo, Shuxiang, Touge, Tetsuo and Xiufen, Ye (ed.) 2011 IEEE/ICME International Conference on Complex Medical Engineering (ICME 2011). Harbin, China 22 - 25 May 2011 Piscataway, NJ. United States. https://doi.org/10.1109/ICCME.2011.5876701
Fuzzy and non-fuzzy approaches for digital image classification
Diykh, Mohammed and Li, Yan. 2016. "Fuzzy and non-fuzzy approaches for digital image classification." Journal of Theoretical and Applied Information Technology. 95 (4), pp. 858-870.
Classification of epileptic EEG signals based on simple random sampling and sequential feature selection
Al Ghayab, Hadi, Li, Yan, Abdulla, Shahab, Diykh, Mohammed and Wan, Xiangkui. 2016. "Classification of epileptic EEG signals based on simple random sampling and sequential feature selection." Brain Informatics. 3 (2), pp. 85-91. https://doi.org/10.1007/s40708-016-0039-1
Excel files of bispectral index (BIS), anaesthesia levels and nominal patient data based on sensitivity to anaesthesia
Abdulla, Shahab. Excel files of bispectral index (BIS), anaesthesia levels and nominal patient data based on sensitivity to anaesthesia. Toowoomba.
Teaching for transfer in EAP: hugging and bridging revisited
Green, Jonathan H.. 2015. "Teaching for transfer in EAP: hugging and bridging revisited." English for Specific Purposes. 37, pp. 1-12. https://doi.org/10.1016/j.esp.2014.06.003
Transfer of learning and the cultural matrix: culture, beliefs and learning in Thailand higher education
Green, Jonathan H.. 2015. Transfer of learning and the cultural matrix: culture, beliefs and learning in Thailand higher education. Blue Mounds, Wisconsin. Deep University Press.
Students' mathematical preparation: differences in staff and student perceptions
Wandel, Andrew P., Robinson, Clare, Abdulla, Shahab, Dalby, Tim, Frederiks, Anita and Galligan, Linda. 2015. "Students' mathematical preparation: differences in staff and student perceptions." International Journal of Innovation in Science and Mathematics Education. 23 (1), pp. 82-93.
Transfer of learning and the cultural matrix: the interrelationship of culture, beliefs, and learning
Green, Jonathan Henry. 2015. Transfer of learning and the cultural matrix: the interrelationship of culture, beliefs, and learning. PhD Thesis Doctor of Philosophy. University of Southern Queensland.
Students' mathematical preparation Part A: lecturers' perceptions
Galligan, Linda, Wandel, Andrew, Pigozzo, Robyn, Frederiks, Anita, Robinson, Clare, Abdulla, Shahab and Dalby, Tim. 2013. "Students' mathematical preparation Part A: lecturers' perceptions." Deborah, King, Birgit, Loch and Leanne, Rylands (ed.) 9th Delta Conference of Teaching and Learning of Undergraduate Mathematics and Statistics 2013: Shining Through the Fog. Kiama, Australia 24 - 29 Nov 2013 Sydney, Australia.
Students' mathematical preparation Part B: students' perceptions
Dalby, Tim, Robinson, Clare, Abdulla, Shahab, Galligan, Linda, Frederiks, Anita, Pigozzo, Robyn and Wandel, Andrew. 2013. "Students' mathematical preparation Part B: students' perceptions." King, Deborah, Loch, Birgit and Rylands, Leanne (ed.) 9th Delta Conference of Teaching and Learning of Undergraduate Mathematics and Statistics 2013: Shining Through the Fog. Kiama, Australia 24 - 29 Nov 2013 Sydney, Australia.
Transfer of learning and its ascendancy in higher education: a cultural critique
Green, Jonathan H.. 2013. "Transfer of learning and its ascendancy in higher education: a cultural critique." Teaching in Higher Education. 18 (4), pp. 365-376. https://doi.org/10.1080/13562517.2012.719155
Model based predictive control of depth of anaesthesia
Abdulla, Shahab, Wen, Peng, Zude, Zhou and Quan, Liu. 2012. "Model based predictive control of depth of anaesthesia." Chih-Hsing, Chu, Smith, Shana and Hong, Hocheng (ed.) 2012 International Conference on Innovative Design and Manufacturing (ICIDM 2012). Taipei, Taiwan 12 - 14 Dec 2012 Taiwan.
The effects of time-delay on feedback control of depth of anesthesia
Abdulla, Shahab A. and Wen, Peng. 2012. "The effects of time-delay on feedback control of depth of anesthesia." Zhang, Yuan-Ting, Naghavi, Morteza, Bonato, Paolo and Carmen, C. Y. Poon (ed.) 2012 IEEE-EMBS International Conference on Biomedical and Health Informatics: Global Grand Challenge of Health Informatics (BHI 2012). Hong Kong and Shenzhen, China 02 - 07 Jan 2012 Hong Kong, China. https://doi.org/10.1109/BHI.2012.6211747
Depth of anaesthesia control investigation using robust deadbeat control technique
Abdulla, Shahab and Wen, Peng. 2012. "Depth of anaesthesia control investigation using robust deadbeat control technique." Tetsuo, Kobayashi, Tetsuo, Touge, Hisao, Tachibana and Jinglong, Wu (ed.) 2012 International Conference on Complex Medical Engineering (ICME 2012). Kobe, Japan 01 - 04 Jul 2012 Piscataway, NJ. United States. https://doi.org/10.1109/ICCME.2012.6275636
Depth of anaesthesia control techniques and human body models
Abdulla, Shahab Anna. 2012. Depth of anaesthesia control techniques and human body models. PhD Thesis Doctor of Philosophy. University of Southern Queensland.
Convection drying process modeling and simulation study based on tomato
Shahab, Anna, Wen, Peng and Richard, George. 2009. "Convection drying process modeling and simulation study based on tomato." Giannoccaro, Nicola Ivan and Klingajay, Mongkorn (ed.) International Conference on Robotics, Informatics, Intelligence Control System Technology (RIIT 2009). Bangkok, Thailand 11 - 14 Dec 2009 Bangkok, Thailand.
Fruit drying process: analysis, modeling and simulation
Abdulla, Shahab, Wen, Paul, Landers, Richard and Yousif, B. F.. 2011. "Fruit drying process: analysis, modeling and simulation." Scientific Research and Essays. 6 (23), pp. 4915-4924.
Robust internal model control for depth of anaesthesia
Abdulla, Shahab Anna and Wen, Peng. 2011. "Robust internal model control for depth of anaesthesia." International Journal of Mechatronics and Automation. 1 (1), pp. 1-8. https://doi.org/10.1504/IJMA.2011.039150
EAP: English for any purpose?
Green, Jonathan H.. 2008. "EAP: English for any purpose?" The International Journal of Learning. 15 (7), pp. 63-72.
Who's the boss? Culture and the problem of transfer
Green, Jonathan H.. 2010. "Who's the boss? Culture and the problem of transfer." The International Journal of Learning. 17 (6), pp. 393-402.
The design and investigation of model based internal model control for the regulation of hypnosis
Abdulla, Shahab, Wen, Peng and Xiang, Wei. 2010. "The design and investigation of model based internal model control for the regulation of hypnosis." Kuo, Way, Tsui, Lap Chee and Sung, Jao Yiu (ed.) IEEE/NANOMED 2010: Promoting Good Health with Nanotechnology. Hong Kong, China 05 - 09 Dec 2010 Hong Kong. https://doi.org/10.1109/NANOMED.2010.5749833
Depth of anesthesia control using internal model control techniques
Anna, Shahab and Wen, Peng. 2010. "Depth of anesthesia control using internal model control techniques." Li, Yan, Yang, Jiajia, Wen, Peng and Wu, Jinglong (ed.) 2010 IEEE/ICME International Conference on Complex Medical Engineering (ICME 2010). Gold Coast, Australia 13 - 15 Jul 2010 Piscataway, NJ. United States. https://doi.org/10.1109/ICCME.2010.5558825