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Mingzhen Wen, Hailing Wang, Jinghao Liu, Jizhen Luo, Lei Meng, Wei Sun
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Pediatric seizure prediction in scalp EEG using a multi-scale neural network with dilated convolutions
10.1109/jtehm.2022.3144037 · doi-reference
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10.1007/978-3-319-24574-4_28 · doi-reference
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10.21608/mjeer.2019.64927 · doi-reference
Automatic recognition of epileptic seizures in the EEG
10.1016/0013-4694(82)90038-4 · doi-reference
Channel selection for automatic seizure detection
10.1016/j.clinph.2011.06.001 · doi-reference
A review of channel selection algorithms for EEG signal processing
10.1186/s13634-015-0251-9 · doi-reference
Self-supervised learning with attention mechanism for EEG-based seizure detection
10.1016/j.bspc.2023.105464 · doi-reference
Exploring the applicability of transfer learning and feature engineering in epilepsy prediction using hybrid transformer model
10.1109/tnsre.2023.3244045 · doi-reference
EEGNet: a compact convolutional neural network for EEG-based brain–computer interfaces
10.1088/1741-2552/aace8c · doi-reference
Automatic epileptic seizures joint detection algorithm based on improved multi-domain feature of cEEG and spike feature of aEEG
10.1109/access.2019.2904949 · doi-reference
A framework on wavelet-based nonlinear features and extreme learning machine for epileptic seizure detection
10.1016/j.bspc.2013.11.010 · doi-reference
Novel seizure detection algorithm based on multi-dimension feature selection
10.1016/j.bspc.2023.104747 · doi-reference
10.5772/31597
10.5772/31597 · doi-reference
A review of epileptic seizure detection using machine learning classifiers
10.1186/s40708-020-00105-1 · doi-reference
EEG seizure detection and prediction algorithms: a survey
10.1186/1687-6180-2014-183 · doi-reference