80e53e22-23d5-4dc9-a1af-82758e5b7b01 beie director@blueeyesintelligence.org 10.35940/ijrte.B6229.0710221 Epilepsy & BehaviorRamgopal37291201410.1016/j.yebeh.2014.06.023Seizure detection, seizure prediction, and closed-loop warning systems in epilepsyRamgopal, S., Thome-Souza, S., Jackson, M., Kadish, N. E., Sánchez Fernández, I., Klehm, J., Bosl, W., Reinsberger, C., Schachter, S., & Loddenkemper, T. (2014). "Seizure detection, seizure prediction, and closed-loop warning systems in epilepsy". Epilepsy & Behavior, 37, 291-307Computational and Mathematical Methods in Medicine 2017Usman1201710.1155/2017/9074759"Epileptic Seizures Prediction Using Machine Learning Methods"Usman, S. M., Usman, M., & Fong, S. (2017). "Epileptic Seizures Prediction Using Machine Learning Methods". Computational and Mathematical Methods in Medicine, 2017, 1-10.Dadgar-Kiani, E., Alkan, C., & Shameli, A. "Applying Machine Learning for Human Seizure Prediction". http://cs229.stanford.edu/proj2016/report/DadgarkianiAlkanShameli-ApplyingMachineLearningForHumanSeizurePredication-report.pdf.Journal of Neuroscience Methods 217(1-2)Rasekhi9201310.1016/j.jneumeth.2013.03.019"Preprocessing effects of 22 linear univariate features on the performance of seizure prediction methods"Rasekhi, J., Mollaei, M. R., Bandarabadi, M., Teixeira, C. A., & Dourado, A. (2013). "Preprocessing effects of 22 linear univariate features on the performance of seizure prediction methods". Journal of Neuroscience Methods, 217(1-2), 9-16.Clinical NeurophysiologyBandarabadi1262237201510.1016/j.clinph.2014.05.022"Epileptic seizure prediction using relative spectral power features"Bandarabadi, M., Teixeira, C. A., Rasekhi, J., & Dourado, A. (2015). "Epileptic seizure prediction using relative spectral power features". Clinical Neurophysiology, 126(2), 237-248.Clinical NeurophysiologyGadhoumi123101906201210.1016/j.clinph.2012.03.001"Discriminating preictal and interictal states in patients with temporal lobe epilepsy using wavelet analysis of intracerebral EEG"Gadhoumi, K., Lina, J.-M., & Gotman, J. (2012). "Discriminating preictal and interictal states in patients with temporal lobe epilepsy using wavelet analysis of intracerebral EEG". Clinical Neurophysiology, 123(10), 1906-1916.EBioMedicineKiral-Kornek27103201810.1016/j.ebiom.2017.11.032"Epileptic Seizure Prediction Using Big Data and Deep Learning: Toward a Mobile System"Kiral-Kornek, 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. (2018). "Epileptic Seizure Prediction Using Big Data and Deep Learning: Toward a Mobile System". EBioMedicine, 27, 103-111.CHB-MIT Scalp EEG Database. CHB-MIT Scalp EEG Database v1.0.0. (2010, June 9). https://archive.physionet.org/pn6/chbmit/.Fast Fourier Transform (FFT). http://www.cmlab.csie.ntu.edu.tw/cml/dsp/training/coding/transform/fft.html.What are Brainwaves ? Types of Brain waves | EEG sensor and brain wave - UK. https://brainworksneurotherapy.com/what-are-brainwaves10.1109/ICACCI.2015.7275767Kumar, A. S., Nigam, L., Karnam, D., Murthy, S. K., Fedorovych, P., & Kalidindi, V. (2015). "Machine learning for seizure prediction: A revamped approach". 2015 International Conference on Advances in Computing, Communications and Informatics (ICACCI). https://doi.org/10.1109/icacci.2015.7275767Raphael Vallat, P. D. Compute the average bandpower of an EEG signal.. Bandpower of an EEG signal. https://raphaelvallat.com/bandpower.htmlSchoonjans, F. (2017, May 9). ROC curve analysis. MedCalc. https://www.medcalc.org/manual/roc-curves.phpNordic Semiconductor Infocenter. https://infocenter.nordicsemi.com/pdf/nRF52832_PS_v1.1.pdfExploring BeagleBone®. https://onlinelibrary.wiley.com/doi/book/10.1002/9781119561477Software. Arduino. https://www.arduino.cc/en/main/software