Beghi E, Giussani G, Nichols E, Abd-Allah F, Abdela J, Abdelalim A, Abraha HN, Adib MG, Agrawal S, Alahdab F et al (2019) Global, regional, and national burden of epilepsy, 1990–2016: a systematic analysis for the global burden of disease study 2016. Lancet Neurol 18(4):357–375

Article
Google Scholar

Sirven JI (2015) Epilepsy: a spectrum disorder. Cold Spring Harbor Perspect Med 5(9):022848

Article
Google Scholar

Stafstrom CE, Carmant L (2015) Seizures and epilepsy: an overview for neuroscientists. Cold Spring Harbor Perspect Med 5(6):022426

Article
Google Scholar

Gotman J (1982) Automatic recognition of epileptic seizures in the eeg. Electroencephalogr Clin Neurophysiol 54(5):530–540

Article
Google Scholar

Zhou M, Tian C, Cao R, Wang B, Niu Y, Hu T, Guo H, Xiang J (2018) Epileptic seizure detection based on eeg signals and cnn. Front Neuroinform 12:95

Article
Google Scholar

Santiago-Rodríguez E, Harmony T, Cárdenas-Morales L, Hernández A, Fernández-Bouzas A (2008) Analysis of background eeg activity in patients with juvenile myoclonic epilepsy. Seizure 17(5):437–445

Article
Google Scholar

Staba RJ, Worrell GA (2014) What Is the Importance of Abnormal “Background” Activity in Seizure Generation? In: Scharfman H, Buckmaster P (eds) Issues in Clinical Epileptology: A View from the Bench. Advances in Experimental Medicine and Biology, vol 813. Springer, Dordrecht. https://doi.org/10.1007/978-94-017-8914-1_3

Chapter
Google Scholar

Urigüen JA, García-Zapirain B, Artieda J, Iriarte J, Valencia M (2017) Comparison of background eeg activity of different groups of patients with idiopathic epilepsy using shannon spectral entropy and cluster-based permutation statistical testing. PLoS One 12(9):0184044

Article
Google Scholar

Słowiński P, Sheybani L, Michel CM et al (2019) Background eeg connectivity captures the time-course of epileptogenesis in a mouse model of epilepsy. Eneuro. 6(4):31346002. https://doi.org/10.1523/ENEURO.0059-19.2019

Article
Google Scholar

Alotaiby T, Abd El-Samie FE, Alshebeili SA, Ahmad I (2015) A review of channel selection algorithms for eeg signal processing. EURASIP J Adv Signal Process 2015(1):1–21

Article
Google Scholar

Yao D, Qin Y, Hu S, Dong L, Vega MLB, Sosa PAV (2019) Which reference should we use for eeg and erp practice? Brain Topogr 32(4):530–549

Article
Google Scholar

Tekgul H, Bourgeois BF, Gauvreau K, Bergin AM (2005) Electroencephalography in neonatal seizures: comparison of a reduced and a full 10/20 montage. Pediatr Neurol 32(3):155–161

Article
Google Scholar

Zimbric MR, Sharpe CM, Albright KC, Nespeca MP (2011) Three-channel electroencephalogram montage in neonatal seizure detection and quantification. Pediatr Neurol 44(1):31–34

Article
Google Scholar

Chang N-F, Chen T-C, Chiang C-Y, Chen L-G (2012) Channel selection for epilepsy seizure prediction method based on machine learning. In: 2012 Annual International conference of the IEEE Engineering in Medicine and Biology Society, pp. 5162–5165. IEEE

Truong ND, Kuhlmann L, Bonyadi MR, Yang J, Faulks A, Kavehei O (2017) Supervised learning in automatic channel selection for epileptic seizure detection. Expert Syst Appl 86:199–207

Article
Google Scholar

Ibrahim F, El-Gindy SA-E, El-Dolil SM, El-Fishawy AS, El-Rabaie E-SM, Dessouky MI, Eldokany IM, Alotaiby TN, Alshebeili SA, Abd El-Samie FE (2019) A statistical framework for eeg channel selection and seizure prediction on mobile. Int J Speech Technol 22(1):191–203

Article
Google Scholar

Jasper H (1958) Report of the committee on methods of clinical examination in electroencephalography. Electroencephalogr Clin Neurophysiol 10:370–375

Article
Google Scholar

Zacharaki EI, Mporas I, Garganis K, Megalooikonomou V (2016) Spike pattern recognition by supervised classification in low dimensional embedding space. Brain Inf 3(2):73–83

Article
Google Scholar

Chang BS, Drislane FW (2007) Epileptiform abnormalities. In: Blum AS, Rutkove SB (eds) The Clinical Neurophysiology Primer. Humana Press, Totowa. https://doi.org/10.1007/978-1-59745-271-7_8

Chapter
Google Scholar

Muro VM, Connolly MB (2014) Classifying epileptic seizures and the epilepsies. In: Miller JW, Goodkin HP (eds) Epilepsy . https://doi.org/10.1002/9781118456989.ch2

McGrogan N (1999) Neural network detection of epileptic seizures in the electroencephalogram. https://scholar.google.it/scholar?hl=en&as_sdt=0%2C5&q=Neural+network+detection+of+epileptic+seizures+in+the+electroencephalogram&btnG=

Nishida S, Nakamura M, Ikeda A, Shibasaki H (1999) Signal separation of background eeg and spike by using morphological filter. Med Eng Phys 21(9):601–608

Article
Google Scholar

Altenburg J, Vermeulen RJ, Strijers RL, Fetter WP, Stam CJ (2003) Seizure detection in the neonatal eeg with synchronization likelihood. Clin Neurophysiol 114(1):50–55

Article
Google Scholar

Shanir PM, Khan KA, Khan YU, Farooq O, Adeli H (2018) Automatic seizure detection based on morphological features using one-dimensional local binary pattern on long-term eeg. Clin EEG Neurosci 49(5):351–362

Article
Google Scholar

Wen T, Zhang Z (2017) Effective and extensible feature extraction method using genetic algorithm-based frequency-domain feature search for epileptic eeg multiclassification. Medicine (Baltimore) 96(19):e6879. https://doi.org/10.1097/MD.0000000000006879

Article
Google Scholar

Mursalin M, Zhang Y, Chen Y, Chawla NV (2017) Automated epileptic seizure detection using improved correlation-based feature selection with random forest classifier. Neurocomputing 241:204–214

Article
Google Scholar

Iscan Z, Dokur Z, Demiralp T (2011) Classification of electroencephalogram signals with combined time and frequency features. Expert Syst Appl 38(8):10499–10505

Article
Google Scholar

Gotman J, Gloor P (1976) Automatic recognition and quantification of interictal epileptic activity in the human scalp eeg. Electroencephalogr Clin Neurophysiol 41(5):513–529

Article
Google Scholar

Faure C (1985) Attributed strings for recognition of epileptic transients in eeg. Int J Bio-Med Comput 16(3–4):217–229

Article
Google Scholar

Webber W, Litt B, Wilson K, Lesser R (1994) Practical detection of epileptiform discharges (eds) in the eeg using an artificial neural network: a comparison of raw and parameterized eeg data. Electroencephalogr Clin Neurophysiol 91(3):194–204

Article
Google Scholar

Pon L-S, Sun M, Sclabassi RJ (2002) The bi-directional spike detection in eeg using mathematical morphology and wavelet transform. In: 6th International Conference on Signal Processing, 2002., vol. 2, pp. 1512–1515. IEEE

Xu G, Wang J, Zhang Q, Zhang S, Zhu J (2007) A spike detection method in eeg based on improved morphological filter. Comput Biol Med 37(11):1647–1652

Article
Google Scholar

Dandapat S, Ray G (1997) Spike detection in biomedical signals using midprediction filter. Med Biol Eng Comput 35(4):354–360

Article
Google Scholar

Mukhopadhyay S, Ray G (1998) A new interpretation of nonlinear energy operator and its efficacy in spike detection. IEEE Trans Biomed Eng 45(2):180–187

Article
Google Scholar

Kim KH, Kim SJ (2000) Neural spike sorting under nearly 0-db signal-to-noise ratio using nonlinear energy operator and artificial neural-network classifier. IEEE Trans Biomed Eng 47(10):1406–1411

Article
Google Scholar

Hassanpour H, Mesbah M, Boashash B (2004) Eeg spike detection using time-frequency signal analysis. In: 2004 IEEE international conference on acoustics, speech, and signal processing, vol. 5, p. IEEE

Stoller A (1949) Slowing of the alpha-rhythm of the electroencephalogram and its association with mental deterioration and epilepsy. J Mental Sci 95(401):972–984

Article
Google Scholar

Larsson PG, Kostov H (2005) Lower frequency variability in the alpha activity in eeg among patients with epilepsy. Clin Neurophysiol 116(11):2701–2706

Article
Google Scholar

Pyrzowski J, Siemiński M, Sarnowska A, Jedrzejczak J, Nyka WM (2015) Interval analysis of interictal eeg: pathology of the alpha rhythm in focal epilepsy. Sci Rep 5(1):1–10

Article
Google Scholar

Abela E, Pawley AD, Tangwiriyasakul C, Yaakub SN, Chowdhury FA, Elwes RD, Brunnhuber F, Richardson MP (2019) Slower alpha rhythm associates with poorer seizure control in epilepsy. Ann Clin Trans Neurol 6(2):333–343

Article
Google Scholar

Vaudano AE, Ruggieri A, Avanzini P, Gessaroli G, Cantalupo G, Coppola A, Sisodiya SM, Meletti S (2017) Photosensitive epilepsy is associated with reduced inhibition of alpha rhythm generating networks. Brain 140(4):981–997

Article
Google Scholar

Douw L, van Dellen E, de Groot M, Heimans JJ, Klein M, Stam CJ, Reijneveld JC (2010) Epilepsy is related to theta band brain connectivity and network topology in brain tumor patients. BMC Neurosci 11(1):1–10

Article
Google Scholar

Chauviere L, Rafrafi N, Thinus-Blanc C, Bartolomei F, Esclapez M, Bernard C (2009) Early deficits in spatial memory and theta rhythm in experimental temporal lobe epilepsy. J Neurosci 29(17):5402–5410

Article
Google Scholar

Panet-Raymond D, Gotman J (1990) Asymmetry in delta activity in patients with focal epilepsy. Electroencephalogr Clin Neurophysiol 75(6):474–481

Article
Google Scholar

Reiher J, Beaudry M, Leduc CP (1989) Temporal intermittent rhythmic delta activity (tirda) in the diagnosis of complex partial epilepsy: sensitivity, specificity and predictive value. Can J Neurol Sci 16(4):398–401

Article
Google Scholar

Brigo F (2011) Intermittent rhythmic delta activity patterns. Epilepsy Behav 20(2):254–256

Article
Google Scholar

Hughes JR, Fino JJ (2004) Eeg in seizure prognosis: association of slow wave activity and other factors in patients with apparent misleading epileptiform findings. Clin EEG Neurosci 35(4):181–184

Article
Google Scholar

Schnitzler A, Gross J (2005) Normal and pathological oscillatory communication in the brain. Nat Rev Neurosci 6(4):285–296

Article
Google Scholar

Tao JX, Chen X-J, Baldwin M, Yung I, Rose S, Frim D, Hawes-Ebersole S, Ebersole JS (2011) Interictal regional delta slowing is an eeg marker of epileptic network in temporal lobe epilepsy. Epilepsia 52(3):467–476

Article
Google Scholar

Kramer MA, Eden UT, Kolaczyk ED, Zepeda R, Eskandar EN, Cash SS (2010) Coalescence and fragmentation of cortical networks during focal seizures. J Neurosci 30(30):10076–10085

Article
Google Scholar

Warren CP, Hu S, Stead M, Brinkmann BH, Bower MR, Worrell GA (2010) Synchrony in normal and focal epileptic brain: the seizure onset zone is functionally disconnected. J Neurophysiol 104(6):3530–3539

Article
Google Scholar

Staljanssens W, Strobbe G, Van Holen R, Birot G, Gschwind M, Seeck M, Vandenberghe S, Vulliémoz S, Van Mierlo P (2017) Seizure onset zone localization from ictal high-density eeg in refractory focal epilepsy. Brain Topogr 30(2):257–271

Article
Google Scholar

Burns SP, Santaniello S, Yaffe RB, Jouny CC, Crone NE, Bergey GK, Anderson WS, Sarma SV (2014) Network dynamics of the brain and influence of the epileptic seizure onset zone. Proc Natl Acad Sci 111(49):5321–5330

Article
Google Scholar

Martinet L-E, Fiddyment G, Madsen J, Eskandar EN, Truccolo W, Eden UT, Cash S, Kramer MA (2017) Human seizures couple across spatial scales through travelling wave dynamics. Nat Commun 8(1):1–13

Article
Google Scholar

Wagenaar JB, Worrell GA, Ives Z, Dümpelmann M, Litt B, Schulze-Bonhage A (2015) Collaborating and sharing data in epilepsy research. J Clin Neurophysiol 32(3):235

Article
Google Scholar

Gardner AB, Krieger AM, Vachtsevanos G, Litt B, Kaelbing LP (2006) One-class novelty detection for seizure analysis from intracranial eeg. J Mach Learn Res 7(37):1025−1044

MathSciNet
MATH
Google Scholar

Chung JM, Meador K, Eisenschenk S, Ghacibeh GA, Vergara DT, Eliashiv DS, Roper SN (2015) Utility of invasive ictal eeg recordings in pre-surgical evaluation of patients with medically refractory temporal lobe epilepsy and normal mri. Int J Epilepsy 2(2):66–71

Article
Google Scholar

Raghunathan S, Gupta SK, Ward MP, Worth RM, Roy K, Irazoqui PP (2009) The design and hardware implementation of a low-power real-time seizure detection algorithm. J Neural Eng 6(5):056005

Article
Google Scholar

Davis KA, Sturges BK, Vite CH, Ruedebusch V, Worrell G, Gardner AB, Leyde K, Sheffield WD, Litt B (2011) A novel implanted device to wirelessly record and analyze continuous intracranial canine eeg. Epilepsy Res 96(1–2):116–122

Article
Google Scholar

Shoeb AH, Guttag JV (2010) Application of machine learning to epileptic seizure detection. In: Proceedings of the 27th International Conference on Machine Learning (ICML-10), pp. 975–982

Kaggle: UPenn and Mayo Clinic,s Seizure Detection Challenge (2014). https://www.kaggle.com/c/seizure-detection

Obeid I, Picone J (2016) The temple university hospital eeg data corpus. Front Neurosci 10:196

Article
Google Scholar

Shah V, Von Weltin E, Lopez S, McHugh JR, Veloso L, Golmohammadi M, Obeid I, Picone J (2018) The temple university hospital seizure detection corpus. Front Neuroinf 12:83

Article
Google Scholar

Lopez S, Gross A, Yang S, Golmohammadi M, Obeid I, Picone J (2016) An analysis of two common reference points for eegs. In: 2016 IEEE signal processing in medicine and biology symposium (SPMB), pp. 1–5. IEEE

Kıymık MK, Güler İ, Dizibüyük A, Akın M (2005) Comparison of stft and wavelet transform methods in determining epileptic seizure activity in eeg signals for real-time application. Comput Biol Med 35(7):603–616

Article
Google Scholar

Breiman L (2001) Random forests. Mach Learn 45(1):5–32

Article
MATH
Google Scholar

Cortes C, Vapnik V (1995) Support-vector networks. Mach Learn 20(3):273–297

MATH
Google Scholar

Pal SK, Mitra S (1992) Multilayer perceptron, fuzzy sets and classifiaction. IEEE Trans Neural Netw 3(5):683–697. https://doi.org/10.1109/72.159058

Article
Google Scholar