Automatic Seizure Detection Using Multi‐Input Deep Feature Learning Networks for EEG Signals

Q Sun, Y Liu, S Li - Journal of Sensors, 2024 - Wiley Online Library
Epilepsy, a neurological disease associated with seizures, affects the normal behavior of
human beings. The unpredictability of epileptic seizures has caused great obstacles to the …

Deep multi-view feature learning for EEG-based epileptic seizure detection

X Tian, Z Deng, W Ying, KS Choi, D Wu… - … on Neural Systems …, 2019 - ieeexplore.ieee.org
Epilepsy is a neurological illness caused by abnormal discharge of brain neurons, where
epileptic seizure can lead to life-threatening emergencies. By analyzing the encephalogram …

A Novel SE-TCN-BiGRU Hybrid Network for Automatic Seizure Detection

P Zhu, W Zhou, C Cao, G Liu, Z Liu, W Shang - IEEE Access, 2024 - ieeexplore.ieee.org
Automatic seizure detection plays a crucial role in epilepsy diagnosis and treatment.
Traditional machine learning based automatic seizure detection requires additional feature …

Double Attention-Based Deep Convolutional Neural Network for Seizure Detection Using EEG Signals

L Shi, Z Wang, Y Ma, J Chen, J Xu, J Qi - International Conference on …, 2024 - Springer
Epilepsy is a common neurological disorder caused by sudden and transient excessive
excitation of neurons in the brain due to abnormal electrical dis-charge. Existing diagnosis …

Less parameterization inception-based end to end CNN model for EEG seizure detection

KK Shyu, SC Huang, LH Lee, PL Lee - Ieee Access, 2023 - ieeexplore.ieee.org
Many deep-learning-based seizure detection algorithms have achieved good classification,
which usually outperformed traditional machine-learning-based algorithms. However, the …

Channel Selection-based Temporal Convolutional Network for Patient-specific Epileptic Seizure Detection

G Wang, X Lei, W Li, WH Lee, L Huang… - … on Cognitive and …, 2024 - ieeexplore.ieee.org
Since sudden and recurrent epileptic seizures seriously affect people's lives, computer-
aided automatic seizure detection is crucial for precise diagnosis and prompt treatment. A …

Detection of epilepsy seizures based on deep learning with attention mechanism

TN Gia, Z Wang, T Westerlund - International Conference on Wireless …, 2021 - Springer
Epilepsy cannot be underestimated as it can negatively impact every one of all ages and
reduce the quality of life. Epilepsy can lead to sudden tumble and loss of awareness or …

Studying multi-frequency multilayer brain network via deep learning for EEG-based epilepsy detection

W Dang, D Lv, L Rui, Z Liu, G Chen… - IEEE sensors journal, 2021 - ieeexplore.ieee.org
Epilepsy makes the patients suffer great pain and has a very bad impact on daily life. In this
paper, a novel method is proposed to implement electroencephalogram (EEG)-based …

Patient-independent seizure detection based on channel-perturbation convolutional neural network and bidirectional long short-term memory

G Liu, L Tian, W Zhou - International journal of neural systems, 2022 - World Scientific
Automatic seizure detection is of great significance for epilepsy diagnosis and alleviating the
massive burden caused by manual inspection of long-term EEG. At present, most seizure …

Epileptic seizure detection based on feature extraction and CNN-BiGRU network with attention mechanism

J Xu, J Wang, JX Liu, J Shang, L Dai, K Yan… - … Conference on Intelligent …, 2023 - Springer
Epilepsy is one of the most widespread neurological disorders of the brain. In this paper, an
efficient seizure detection system based on the combination of traditional feature extraction …