1 |
D. Tran., L. Bourdev., R. Fergus, L Torresani., and M Paluri, "Learning spatiotemporal features with 3d convolutional networks," In Computer Vision (ICCV), 2015 IEEE International Conference on, pp.4489-4497, 2015.
|
2 |
D. Kim, S. Lee, S. Chung, H. Cheon, K. Jung, "Clinical characteristics of patients with treated epilepsy in Korea: a nationwide epidemiologic study," Epilepsia, the Korean Epilepsy Society, pp.67-75, 2014. DOI:10.1111/epi.12469
DOI
|
3 |
R. Meier, H. Dittrich, A. Schulze-Bonhage, and A. Aertsen, "Detecting epileptic seizures in long-term human EEG: a new approach to automatic online and real-time detection and classification of polymorphic seizure patterns," Journal of Clinical Neurophysiology, vol.25, no.3, 2008. DOI:10.1097/WNP.0b013e3181775993.
DOI
|
4 |
A. Chan, F. Sun, E. Boto, and B. Wingeier, "Automated seizure onset detection for accurate onset time determination in intracranial EEG," Clinical Neurophysiol ogy, vol.119, no.12, 2008. DOI:10.1016/j.clinph.2008.08.025
DOI
|
5 |
A. Aarabi, R. Fazel-Rezai, and Y. Aghakhani, "A fuzzy rule-based system for epileptic seizure detection in intracranial EEG," Clinical Neurophysiology, vol.120, no.9, 2009. DOI:10.1016/j.clinph.2009.07.002
DOI
|
6 |
U. R. Acharya, S. L. Oh, Y. Hagiwara, J. H. Tan, and H. Adeli, "Deep convolutional neural network for the automated detection and diagnosis of seizure using EEG signals," Computers in biology and medicine, 2017. DOI:10.1016/j.compbiomed.2017.09.017
DOI
|
7 |
P. Thodoroff, J. Pineau, A. Lim, "Learning robust features using deep learning for automatic seizure detection," In Machine Learning for Healthcare Conference, pp.178-190, 2016.
|
8 |
L. Vidyaratne, A. Glandon, M. Alam, and K. M. Iftekharuddin, "Deep recurrent neural network for seizure detection. In Neural Networks," International Joint Conference, IEEE, pp.1202-1207, 2016. DOI:10.1109/IJCNN.2016.7727334
DOI
|
9 |
M. Golmohammadi, S. Ziyabari, V. Shah, E. Von Weltin, C. Campbell, I. Obeid, and J, Picone, "Gated recurrent networks for seizure detection," In Signal Processing in Medicine and Biology Symposium (SPMB), IEEE, pp.1-5, 2017. DOI:10.1109/SPMB.2017.8257020
DOI
|
10 |
P. Bashivan, I. Rish, M. Yeasi, and N. Codella, "Learning Representations from EEG with Deep Recurrent Convolutional Neural Networks," 2016.
|
11 |
R. K. Maddula, J Stivers, M Mousavi, S Ravindran, and V. R.de Sa, "Deep recurrent convolutional neural networks for classifying P300 BCI signals," In Proceedings of the Graz BCI Conference, 2017.
|