Smart Societal Optimization-based Deep Learning Convolutional Neural Network Model for Epileptic Seizure Prediction

References

• Adeli H, Zhou Z, Dadmehr N. 2003. Analysis of EEG records in an epileptic patient using wavelet transform. J Neurosci Methods. 123(1):69–18. doi: 10.1016/S0165-0270(02)00340-0.
   PubMed Web of Science ®Google Scholar
• Alkan A, Koklukaya E, Subasi A. 2005. Automatic seizure detection in EEG using logistic regression and artificial neural network. J Neurosci Methods. 148(2):167–176. doi: 10.1016/j.jneumeth.2005.04.009.
   PubMed Web of Science ®Google Scholar
• Appe SRN, Arulselvi G, Balaji GN. 2023. Tomato ripeness detection and classification using VGG based CNN models. Int J Inte Sys And Applications In Engineering. 11(1):296–302.
   Google Scholar
• Beeraka SM, Kumar A, Sameer M, Ghosh S, Gupta B. 2022. Accuracy enhancement of epileptic seizure detection: a deep learning approach with hardware realization of STFT. Circuits Syst Signal Process. 41(1):461–484. doi: 10.1007/s00034-021-01789-4.
   Web of Science ®Google Scholar
• Chu SC, Tsai PW, Pan JS 2006. Cat swarm optimization. InPRICAI 2006: Trends in Artificial Intelligence: 9th Pacific Rim International Conference on Artificial Intelligence Guilin, China, 2006 Proceedings 9 854–858. Springer Berlin Heidelberg.
   Google Scholar
• Craik A, He Y, Contreras-Vidal JL. 2019. Deep learning for electroencephalogram (EEG) classification tasks: a review. J Neural Eng. 16(3):031001. doi: 10.1088/1741-2552/ab0ab5.
   PubMed Web of Science ®Google Scholar
• Ghosh T, Bashar SK, Alam MS, Wahid K, Fattah SA 2014. A statistical feature based novel method to detect bleeding in wireless capsule endoscopy images. Proceedings of the 2014 International Conference on Informatics, Electronics & Vision (ICIEV); Dhaka, Bangladesh: IEEE. p. 1–4.
   Google Scholar
• Grover C, Turk N. 2020. Rolling element bearing fault diagnosis using empirical mode decomposition and Hjorth parameters. Procedia Comput Sci. 167:1484–1494. doi: 10.1016/j.procs.2020.03.359.
   Google Scholar
• Hussain W, Sadiq MT, Siuly S, Rehman AU. 2021. Epileptic seizure detection using 1 D-convolutional long short-term memory neural networks. Appl Acoust. 177:107941. doi: 10.1016/j.apacoust.2021.107941.
   Web of Science ®Google Scholar
• Hussein R, Lee S, Ward R, McKeown MJ 2021a. Epileptic seizure prediction: A semi-dilated convolutional neural network architecture. Proceedings of the 2020 25th International Conference on Pattern Recognition (ICPR); IEEE. p. 5436–5443.
   Google Scholar
• Hussein R, Lee S, Ward R, McKeown MJ. 2021b. Semi-dilated convolutional neural networks for epileptic seizure prediction. Neural Net. 139:212–222. doi: 10.1016/j.neunet.2021.03.008.
   PubMed Web of Science ®Google Scholar
• Ilakiyaselvan N, Khan AN, Shahina A. 2020. Deep learning approach to detect seizure using reconstructed phase space images. J Biomed Res. 34(3):240. doi: 10.7555/JBR.34.20190043.
   PubMed Web of Science ®Google Scholar
• Jana R, Mukherjee I. 2021. Deep learning based efficient epileptic seizure prediction with EEG channel optimization. Biomed Signal Process Control. 68:102767. doi: 10.1016/j.bspc.2021.102767.
   Web of Science ®Google Scholar
• Kulaseharan S, Aminpour A, Ebrahimi M, Widjaja E. 2019. Identifying lesions in paediatric epilepsy using morphometric and textural analysis of magnetic resonance images. NeuroImage Clin. 21:101663. doi: 10.1016/j.nicl.2019.101663.
   PubMed Web of Science ®Google Scholar
• Li Y, Yu Z, Chen Y, Yang C, Li Y, Allen Li X, Li B. 2020. Automatic seizure detection using fully convolutional nested LSTM. Int J Neural Syst. 30(4):2050019. doi: 10.1142/S0129065720500197.
   PubMed Web of Science ®Google Scholar
• Li S, Zhou W, Yuan Q, Geng S, Cai D. 2013. Feature extraction and recognition of ictal EEG using EMD and SVM. Comput Biol Med. 43(7):807–816. doi: 10.1016/j.compbiomed.2013.04.002.
   PubMed Web of Science ®Google Scholar
• Lu X, Wen A, Sun L, Wang H, Guo Y, Ren Y. 2023. An epileptic seizure prediction method based on CBAM-3D CNN-LSTM model. IEEE J Transl Eng Health Med. 11:417–423. doi: 10.1109/JTEHM.2023.3290036.
   PubMedGoogle Scholar
• Mohan BG, Anupallavi S, Ashokkumar SR. 2021. Retracted article: an optimized deep learning network model for EEG based seizure classification using synchronization and functional connectivity measures. J Ambient Intell Humaniz Comput. 12(7):7139–7151. doi: 10.1007/s12652-020-02383-3.
   Web of Science ®Google Scholar
• Pierezan J, Coelho LD 2018. Coyote optimization algorithm: a new metaheuristic for global optimization problems. Proceedings of the 2018 IEEE congress on evolutionary computation (CEC); Rio de Janeiro, Brazil: IEEE. p. 1–8.
   Google Scholar
• Prathaban BP, Balasubramanian R. 2021. Dynamic learning framework for epileptic seizure prediction using sparsity based EEG reconstruction with optimized CNN classifier. Expert Syst Appl. 170:114533. doi: 10.1016/j.eswa.2020.114533.
   Web of Science ®Google Scholar
• Roy S, Kiral-Kornek I, Harrer S 2019. ChronoNet: a deep recurrent neural network for abnormal EEG identification. In Conference on artificial intelligence in medicine in Europe. 47–56. Springer, Cham.
   Google Scholar
• Scalp EEG Database C-M, CHB-MIT Scalp EEG database v1.0.0 ( physionet.org).
   Google Scholar
• Sharma M, Bhurane AA, Acharya UR. 2018. MMSFL-OWFB: A novel class of orthogonal wavelet filters for epileptic seizure detection. Knowl Based Syst. 160:265–277. doi: 10.1016/j.knosys.2018.07.019.
   Web of Science ®Google Scholar
• Shoeibi A, Khodatars M, Ghassemi N, Jafari M, Moridian P, Alizadehsani R, Panahiazar M, Khozeimeh F, Zare A, Hosseini-Nejad H, et al. 2021. Epileptic seizures detection using deep learning techniques: A review. Int J Envir Res & Pub Health. 18(11):5780. doi: 10.3390/ijerph18115780.
   PubMed Web of Science ®Google Scholar
• Siena Scalp EEG Database, https://www.physionet.org/content/siena-scalp-eeg/1.0.0/PN00/#files-panel.
   Google Scholar
• Sunnetci KM, Kaba E, Celiker FB, Alkan A. 2023. Deep network-based comprehensive parotid gland tumor detection. Acad Radiol. Academic Radiology. doi: 10.1016/j.acra.2023.04.028.
   PubMed Web of Science ®Google Scholar
• Usman SM, Khalid S, Bashir Z. 2021. Epileptic seizure prediction using scalp electroencephalogram signals. Biocybern Biomed Eng. 41(1):211–220. doi: 10.1016/j.bbe.2021.01.001.
   Web of Science ®Google Scholar
• Xu X, Zhang Y, Zhang R, Xu T. 2023. Patient-specific method for predicting epileptic seizures based on DRSN-GRU. Biomed Signal Process Control. 81:104449. doi: 10.1016/j.bspc.2022.104449.
   Web of Science ®Google Scholar
• Yean CW, Khairunizam W, Omar MI, Murugappan M, Zheng BS, Bakar SA, Razlan ZM, Ibrahim Z 2018. Analysis of the distance metrics of KNN classifier for EEG signal in stroke patients. Proceedings of the 2018 International Conference on Computational Approach in Smart Systems Design and Applications (ICASSDA); Kuching, Malaysia: IEEE. p. 1–4.
   Google Scholar
• Zazzaro G, Cuomo S, Martone A, Montaquila RV, Toraldo G, Pavone L. 2021. Eeg signal analysis for epileptic seizures detection by applying data mining techniques. IEEE Internet Things. 14:100048. doi: 10.1016/j.iot.2019.03.002.
   Google Scholar
• Zhao S, Yang J, Xu Y, Sawan M. 2020. Binary single-dimensional convolutional neural network for seizure prediction. In 2020 IEEE International Symposium on Circuits and Systems (ISCAS).1–5. IEEE.
   Google Scholar