Cook MJ, O’Brien TJ, Berkovic SF, Murphy M, Morokoff A, Fabinyi G, Souza W, Yerra R, Archer J, Litewka L (2013) Prediction of seizure likelihood with a long-term, implanted seizure advisory system in patients with drug-resistant epilepsy: a first-in-man study. Lancet Neurol 12(6):563–571
Randhawa J, Hrazdil CT, Mcdonald PJ, Illes J (2021) Strategic and principled approach to the ethical challenges of epilepsy monitoring unit triage. J Med Ethics 49(2):81–86
Sriram R, Sigride TM, Michele J, Navah EK, Ivan SF, Jacquelyn K, William B, Claus R, Steven S, Tobias L (2014) Seizure detection, seizure prediction, and closed-loop warning systems in epilepsy. Epilepsy & Behavior 37:291–307
Vecchio F, Miraglia F, Vollono C, Fuggetta F, Bramanti A, Cioni B, Rossini P (2016) Pre-seizure architecture of the local connections of the epileptic focus examined via graph-theory. Clin Neurophysiol 127(10):3252–3258
Dekker PA (2002) Epilepsy: a manual for medical and clinical officers in Africa. World Health Organization (2002)
Yuan S, Zhou W, Chen L (2017) Epileptic seizure prediction using diffusion distance and bayesian linear discriminate analysis on intracranial eeg. Int J Neural Syst 28(1):1750043
Bennewitz MF, Saltzman WM (2009) Nanotechnology for delivery of drugs to the brain for epilepsy. Brill 6(2):323–336
Fisher RS, Ho J (2002) Potential new methods for antiepileptic drug delivery. CNS Drugs 16(9):579–593
Article CAS PubMed Google Scholar
Stein AG, Eder HG, Blum DE, Drachev A, Fisher RS (2000) An automated drug delivery system for focal epilepsy. Epilepsy Res 39(2):103–114
Article CAS PubMed Google Scholar
Masami F, Hiroshi F, Takayuki O, Nobuhiro T, Hirochika I, Yuichi M, Sadahiro N, Koji K, Takashi S, Toshitaka Y, Takeshi Y, Michiyasu S (2010) Application of focal cerebral cooling for the treatment of intractable epilepsy. Neurol Med Chir (Tokyo) 50(9):839–844
Rothman SM (2009) The therapeutic potential of focal cooling for neocortical epilepsy. Neurotherapeutics 6(2):251–257
Article PubMed PubMed Central Google Scholar
Kwan P, Brodie MJ (2000) Early identification of refractory epilepsy. N Engl J Med 342(5):314–319
Article CAS PubMed Google Scholar
Viglione SS, Walsh GO (1975) Proceedings: epileptic seizure prediction. Electroencephalogr Clin Neurophysiol 39(4):435–436
Li S, Zhou W, Yuan Q, Liu Y (2013) Seizure prediction using spike rate of intracranial eeg. IEEE Trans Neural Syst Rehabil Eng 21(6):880–886
Article CAS PubMed Google Scholar
Siegel A, Grady CL, Mirsky AF (1982) Prediction of spike-wave bursts in absence epilepsy by eeg power-spectrum signals. Epilepsia 23(1):47–60
Article CAS PubMed Google Scholar
Zhu T, Huang L, Tian X (2009) Epileptic seizure prediction by using empirical mode decomposition and complexity analysis of single-channel scalp electroencephalogram. In: International conference on biomedical engineering & informatics. IEEE, pp 1–4
Truong N, Nguyen D, Kuhlmann L, Mr Bonyadi, Yang J, Ippolito S, Kavehei O (2018) Convolutional neural networks for seizure prediction using intracranial and scalp electroencephalogram. Neural Netw 105:104–111
Emara H, Elwekeil M, Taha T, El-Fishawy A, El-Rabaie E-S, El-Shafai W, El Banby G, Alotaiby T, Alshebeili S, Abd El-Samie F (2022) Efficient frameworks for eeg epileptic seizure detection and prediction. Annals of Data Science 9:393–428
Ooi CA, Hariharan M, Yaacob S, Lim SC (2012) Classification of speech dysfluencies with mfcc and lpcc features. Expert Syst Appl 39(2):2157–2165
Tirumala SS, Shahamiri SR, Garhwal AS, Wang R (2017) Speaker identification features extraction methods: a systematic review. Expert Syst Appl 90(12):250–271
Mini PP, Thomas T, Gopikakumari R (2021) Eeg based direct speech bci system using a fusion of smrt and mfcc/lpcc features with ann classifier. Biomed Signal Process Control 68(2):102625
Mendonca F, Mostafa S, Garcia AG, Morgado-Dias F, Penzel T (2019) A review of obstructive sleep apnea detection approaches. IEEE J Biomed Health Inform 23(2):825–837
Singla C, Singh S (2018) Databases, classifiers for speech emotion recognition: a review. Int J Speech Technol 21(6):93–120
Ajinurseto G, Bakrim L, Islamuddin N (2023) Penerapan metode mel frequency cepstral coefficients pada sistem pengenalan suara berbasis desktop. Infomatek 25(1):11–20
Kamarudin N, Al-Haddad SAR, Khmag A, Hassan A, Hashim S (2016) Analysis on mel frequency cepstral coefficients and linear predictive cepstral coefficients as feature extraction on automatic accents identification. Int J Appl Eng Res 11(11):7301–7307
Saldanha JC, Ananthakrishna T, Pinto R (2014) Vocal fold pathology assessment using mel-frequency cepstral coefficients and linear predictive cepstral coefficients features. J Med Imaging & Health Infor 4(2):168–173
Siddiqui MK, Morales-Menendez R, Huang X, Hussain N (2020) A review of epileptic seizure detection using machine learning classifiers. Brain Informatics 7(1):1–18
Goldberger AL, Amaral LAN, Glass L, Hausdorff JM, Ivanov PC, Mark RG, Mietus JE, Moody GB, Peng CK, Stanley HE (2000) Physiobank, physiotoolkit, and physionet: components of a new research resource for complex physiologic signals. Circulation 101(23):215–220
Teixeira C, Direito B, Bandarabadi M, Le Van Quyen M, Valderrama M, Schelter B, Schultz-Bonhage A, Navarro V, Sales F, Dourado A (2014) Epileptic seizure predictors based on computational intelligence techniques: a comparative study with 278 patients. Comput Methods Programs Biomed 114:324–336
Kiral I, Roy S, Nurse E, Mashford B, Karoly P, Carroll T, Payne D, Saha S, Baldassano S, O’Brien T, Grayden D, Cook M, Freestone D, Harrer S (2017) Epileptic seizure prediction using big data and deep learning: toward a mobile system. EBioMedicine 27:103–111
Affes A, Mdhaffar A, Triki C, Jmaiel M, Freisleben B (2022) Personalized attention-based eeg channel selection for epileptic seizure prediction. Expert Syst Appl 206(4):117733
Fei K, Wang W, Yang Q, Tang S (2017) Chaos feature study in fractional fourier domain for preictal prediction of epileptic seizure. Neurocomputing 249(2):290–298
Tsiouris K, Pezoulas V, Koutsouris D, Zervakis M, Fotiadis D (2017) Discrimination of preictal and interictal brain states from long-term eeg data. In: 2017 IEEE 30th International symposium on computer-based medical systems (CBMS). IEEE, pp 318–323
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