Sharmila A, Geethanjali P. A review on the pattern detection methods for epilepsy seizure detection from EEG signals. Biomed Tech 2019, 64: 507–517.

Article  Google Scholar 

Zhao X, Wang Y, Zhang Y, Wang H, Ren J, Yan F. Propofol-induced anesthesia alters corticocortical functional connectivity in the human brain: An EEG source space analysis. Neurosci Bull 2021, 37: 563–568.

Article  CAS  PubMed  PubMed Central  Google Scholar 

Moses DA, Metzger SL, Liu JR, Anumanchipalli GK, Makin JG, Sun PF, et al. Neuroprosthesis for decoding speech in a paralyzed person with Anarthria. N Engl J Med 2021, 385: 217–227.

Article  PubMed  PubMed Central  Google Scholar 

Oxley TJ, Yoo PE, Rind GS, Ronayne SM, Sarah Lee CM, Bird C, et al. Motor neuroprosthesis implanted with neurointerventional surgery improves capacity for activities of daily living tasks in severe paralysis: First in-human experience. J Neurointerv Surg 2021, 13: 102–108.

Article  PubMed  Google Scholar 

Alkawadri R. Brain-computer interface (BCI) applications in mapping of epileptic brain networks based on intracranial-EEG: An update. Front Neurosci 2019, 13: 191.

Article  PubMed  PubMed Central  Google Scholar 

Petrosyan A, Sinkin M, Lebedev M, Ossadtchi A. Decoding and interpreting cortical signals with a compact convolutional neural network. J Neural Eng 2021, 18. https://doi.org/10.1088/1741-2552/abe20e.

Alam SM, Bhuiyan MIH. Detection of seizure and epilepsy using higher order statistics in the EMD domain. IEEE J Biomed Health Inform 2013, 17: 312–318.

Article  PubMed  Google Scholar 

Greene BR, Reilly RB, Boylan G, de Chazal P, Connolly S. Multi-channel EEG based neonatal seizure detection. Conf Proc IEEE Eng Med Biol Soc 2006, 2006: 4679–4684.

Article  PubMed  Google Scholar 

Subasi A, Erçelebi E. Classification of EEG signals using neural network and logistic regression. Comput Methods Programs Biomed 2005, 78: 87–99.

Article  PubMed  Google Scholar 

Yuan Q, Zhou W, Li S, Cai D. Epileptic EEG classification based on extreme learning machine and nonlinear features. Epilepsy Res 2011, 96: 29–38.

Article  PubMed  Google Scholar 

Yuan Q, Zhou W, Zhang J, Li S, Cai D, Zeng Y. EEG classification approach based on the extreme learning machine and wavelet transform. Clin EEG Neurosci 2012, 43: 127–132.

Article  PubMed  Google Scholar 

Fernandez-Blanco E, Rivero D, Rabuñal J, Dorado J, Pazos A, Munteanu CR. Automatic seizure detection based on star graph topological indices. J Neurosci Methods 2012, 209: 410–419.

Article  PubMed  Google Scholar 

Schirrmeister RT, Springenberg JT, Fiederer LDJ, Glasstetter M, Eggensperger K, Tangermann M, et al. Deep learning with convolutional neural networks for EEG decoding and visualization. Hum Brain Mapp 2017, 38: 5391–5420.

Article  PubMed  PubMed Central  Google Scholar 

Lawhern VJ, Solon AJ, Waytowich NR, Gordon SM, Hung CP, Lance BJ. EEGNet: A compact convolutional neural network for EEG-based brain-computer interfaces. J Neural Eng 2018, 15: 056013.

Article  PubMed  Google Scholar 

Farahat A, Reichert C, Sweeney-Reed CM, Hinrichs H. Convolutional neural networks for decoding of covert attention focus and saliency maps for EEG feature visualization. J Neural Eng 2019, 16: 066010.

Article  PubMed  Google Scholar 

Vaquerizo-Villar F, Gutiérrez-Tobal GC, Calvo E, Álvarez D, Kheirandish-Gozal L, Del Campo F, et al. An explainable deep-learning model to stage sleep states in children and propose novel EEG-related patterns in sleep apnea. Comput Biol Med 2023, 165: 107419.

Article  PubMed  Google Scholar 

Greene MR, Hansen BC. Shared spatiotemporal category representations in biological and artificial deep neural networks. PLoS Comput Biol 2018, 14: e1006327.

Article  PubMed  PubMed Central  Google Scholar 

Ravanelli M, Bengio Y. Speaker recognition from raw waveform with SincNet. 2018 IEEE Spoken Language Technology Workshop (SLT). Athens. Greece. IEEE 2018, 2018: 1021–1028.

Google Scholar 

Zhao D, Tang F, Si B, Feng X. Learning joint space-time-frequency features for EEG decoding on small labeled data. Neural Netw 2019, 114: 67–77.

Article  PubMed  Google Scholar 

Andrzejak RG, Lehnertz K, Mormann F, Rieke C, David P, Elger CE. 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 Stat Nonlin Soft Matter Phys 2001, 64: 061907.

Article  CAS  PubMed  Google Scholar 

Asadi-Pooya AA, Sperling MR. Normal awake, drowsy, and sleep EEG patterns that might be overinterpreted as abnormal. J Clin Neurophysiol 2019, 36: 250–256.

Article  PubMed  Google Scholar 

Vale FL, Effio E, Arredondo N, Bozorg A, Wong K, Martinez C, et al. Efficacy of temporal lobe surgery for epilepsy in patients with negative MRI for mesial temporal lobe sclerosis. J Clin Neurosci 2012, 19: 101–106.

Article  PubMed  Google Scholar 

Roy Y, Banville H, Albuquerque I, Gramfort A, Falk TH, Faubert J. Deep learning-based electroencephalography analysis: A systematic review. J Neural Eng 2019, 16: 051001.

Article  PubMed  Google Scholar 

Yang X, Wang Z, Deng H, Li H, Yao R, Gao P, et al. Recognizing image semantic information through multi-feature fusion and SSAE-based deep network. J Med Syst 2020, 44: 46.

Article  PubMed  Google Scholar 

Conradsen I, Moldovan M, Jennum P, Wolf P, Farina D, Beniczky S. Dynamics of muscle activation during tonic-clonic seizures. Epilepsy Res 2013, 104: 84–93.

Article  PubMed  Google Scholar 

Akut R. Wavelet based deep learning approach for epilepsy detection. Health Inf Sci Syst 2019, 7: 8.

Article  PubMed  PubMed Central  Google Scholar 

Yuan Y, Xun G, Jia K, Zhang A. A multi-context learning approach for EEG epileptic seizure detection. BMC Syst Biol 2018, 12: 107.

Article  PubMed  PubMed Central  Google Scholar 

Blanco-Díaz CF, Guerrero-Mendez CD, Delisle-Rodriguez D, de Souza AF, Badue C, Bastos-Filho TF. Lower-limb kinematic reconstruction during pedaling tasks from EEG signals using Unscented Kalman filter. Comput Methods Biomech Biomed Engin 2024, 27: 867–877.

Article  PubMed  Google Scholar 

Nakagome S, Luu TP, He Y, Ravindran AS, Contreras-Vidal JL. An empirical comparison of neural networks and machine learning algorithms for EEG gait decoding. Sci Rep 2020, 10: 4372.

Article  PubMed  PubMed Central  Google Scholar 

Luu TP, He Y, Brown S, Nakagame S, Contreras-Vidal JL. Gait adaptation to visual kinematic perturbations using a real-time closed-loop brain-computer interface to a virtual reality avatar. J Neural Eng 2016, 13: 036006.

Article  PubMed  PubMed Central  Google Scholar 

Chen R, Xu G, Zhang H, Zhang X, Xie J, Tian P, et al. Filter bank second-order underdamped stochastic resonance analysis for implementing a short-term high-speed SSVEP detection. Neuroimage 2024, 285: 120501.

Article  PubMed  Google Scholar 

Boutros N, Galderisi S. Chapter 12 Certification and training in EEG and clinical neurophysiology. In: Standard Electroencephalography in Clinical Psychiatry: A Practical Handbook. 1st ed. John Wiley & Sons, Ltd, 2011.

Feyissa AM, Worrell GA, Lagerlund TD. EEG and epilepsy. In: Epilepsy. 2nd ed. Wiley, 2021: 77–98.

San-Segundo R, Gil-Martín M, D’Haro-Enríquez LF, Pardo JM. Classification of epileptic EEG recordings using signal transforms and convolutional neural networks. Comput Biol Med 2019, 109: 148–158.

Article  PubMed  Google Scholar 

Acharya UR, Oh SL, Hagiwara Y, Tan JH, Adeli H. Deep convolutional neural network for the automated detection and diagnosis of seizure using EEG signals. Comput Biol Med 2018, 100: 270–278.

Article  PubMed  Google Scholar 

McEnery R. Update on pandemic shows new HIV infections steadily declining. IAVI Rep 2009, 13: 17.

PubMed  Google Scholar