# Identification of Epileptic EEG Signals Using Convolutional Neural Networks
## 4 Conclusions
(2001)_ [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON] Indications of Nonlinear Deterministic and Finite Dimensional Structures in Time Series of Brain Electrical Activity: Dependence on Recording Region and Brain State. _Phys. Rev. E_**2001**, _64_, 061907. [CrossRef]
* _[PERSON] et al. (2007)_ [PERSON]; [PERSON]; [PERSON] [PERSON] A wavelet-chaos methodology for analysis of EEGs and EEG sub-bands to detect seizure and epilepsy. _IEEE Trans. Biomed. Eng._**2007**, _54_, 205-211. [CrossRef] [PubMed]
* [PERSON] and [PERSON] (2016) [PERSON]; [PERSON] Epileptic seizure detection from EEG signals using logistic model trees. _Brain Inform._**2016**, \(3\), 93-100. [CrossRef]
* _[PERSON] and [PERSON] (2010)_ [PERSON]; [PERSON] EEG signal classification using PCA, ICA, LDA and support vector machines. _Expert Syst. Appl._**2010**, _37_, 8659-8666. [CrossRef]
* _[PERSON] and [PERSON] (2018)_ [PERSON]; [PERSON] [PERSON] EEG signal classification using Universum support vector machine. _Expert Syst. Appl._**2018**, _106_, 169-182. [CrossRef]
* _[PERSON] et al. (2018)_ [PERSON]; [PERSON] [PERSON] Classification of focal and non-focal EEG signals using neighbourhood component analysis and machine learning algorithms. _Expert Syst. Appl._**2018**, _15_, 18-32. [CrossRef]
* _[PERSON] et al. (2018)_ [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON] Deep convolutional neural network for the automated detection and diagnosis of a seizure using EEG signals. _Comput. Biol. Med._**2018**, _100_, 270-278. [CrossRef]
* _[PERSON] et al. (2018)_ [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON] Convolutional neural networks for seizure prediction using intracranial and scalp electroencephalogram. _Neural Netw._**2018**, _105_, 104-111. [CrossRef] [PubMed]
* _[PERSON] Application of Machine Learning to Epileptic Seizure onset Detection and Treatment. Ph.D. Thesis, Massachusetts Institute Technology, Massachusetts, UK, 2009. * _[PERSON] et al. (2011)_ [PERSON] [PERSON]; [PERSON] [PERSON]; [PERSON]; [PERSON] An algorithm for seizure onset detection using intracranial EEG. _Epilepsy Behav._**2011**, _22_, 529-535. [CrossRef] [PubMed]
* _[PERSON] et al. (2019)_ [PERSON]; [PERSON]; [PERSON]; [PERSON] Detection of Seizure Event and Its Onset/Offset Using Orthonormal TriadicWavelet Based Features. _IRBM_**2019**, _40_, 103-112. [CrossRef]
* _[PERSON] et al. (2015)_ [PERSON]; [PERSON] [PERSON]; [PERSON] [PERSON] Deep Learning. _Nature_**2015**, _521_, 436-444. [CrossRef]
* _[PERSON] et al. (2017)_ [PERSON] [PERSON]; [PERSON] [PERSON]; [PERSON] ImageNet classification with deep convolutional neural networks. _ACM Commun._**2017**, _60_, 84-90. [CrossRef]* [PERSON] et al. (2016) [PERSON]; [PERSON] [PERSON]; [PERSON]; [PERSON] Ensembles of deep learning architectures for the early diagnosis of [PERSON]'s disease. _Int. J. Neural Syst._**2016**, _26_, 1650025. [CrossRef]
* [PERSON] and [PERSON] (2018) [PERSON]; [PERSON] [PERSON]. Deep Convolutional Neural Networks for Chest Diseases Detection. _J. Health. Eng._**2018**, _2018_, 4168538. [CrossRef]
* [PERSON] et al. (2017) [PERSON]; [PERSON]; [PERSON]; [PERSON] Supervised deep restricted Boltzmann machine for estimation of concrete compressive strength. _ACI Mater. J._**2017**, _114_, 237-244. * [PERSON] et al. (2010) [PERSON]; [PERSON]; [PERSON] [PERSON] Deep sparse rectifier neural networks. _J. Mach. Learn. Res._**2010**, _15_, 315-323. * [PERSON] et al. (2017) [PERSON]; [PERSON] [PERSON]; [PERSON] _Deep Learning:_ MIT Press: Cambridge, MA, USA, 2016. * [PERSON] et al. (2017) [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON] Deep learning in medical imaging: General overview. _Korean J. Radiol._**2017**, _18_, 570-584. [CrossRef] [PubMed]
* [PERSON] and [PERSON] (2018) [PERSON]; [PERSON] Fuzzy neural networks for identification of breast cancer using images' shape and texture features. _J. Med. Imaging Health Inf._**2018**, \(8\), 817-825. [CrossRef]
* [PERSON] et al. (2017) [PERSON]; [PERSON]; [PERSON] Machine Learning Techniques for Classification of Breast Tissue.