Automatic diagnosis of sleep apnea from biomedical signals using artificial intelligence techniques: Methods, challenges, and future works
P Moridian, A Shoeibi, M Khodatars… - … : Data Mining and …, 2022 - Wiley Online Library
Apnea is a sleep disorder that stops or reduces airflow for a short time during sleep. Sleep
apnea may last for a few seconds and happen for many while sleeping. This reduction in …
apnea may last for a few seconds and happen for many while sleeping. This reduction in …
Theoretical and methodological analysis of EEG based seizure detection and prediction: An exhaustive review
Epilepsy is a chronic neurological disorder with a comparatively high prevalence rate. It is a
condition characterized by repeated and unprovoked seizures. Seizures are managed with …
condition characterized by repeated and unprovoked seizures. Seizures are managed with …
Epilepsy detection in 121 patient populations using hypercube pattern from EEG signals
Background Epilepsy is one of the most commonly seen neurologic disorders worldwide
and has generally caused seizures. Electroencephalography (EEG) is widely used in …
and has generally caused seizures. Electroencephalography (EEG) is widely used in …
An EEG based real-time epilepsy seizure detection approach using discrete wavelet transform and machine learning methods
M Shen, P Wen, B Song, Y Li - Biomedical Signal Processing and Control, 2022 - Elsevier
Epilepsy is one of the most common complex brain disorders which is a chronic non-
communicable disease caused by paroxysmal abnormal super-synchronous electrical …
communicable disease caused by paroxysmal abnormal super-synchronous electrical …
[HTML][HTML] One dimensional convolutional neural networks for seizure onset detection using long-term scalp and intracranial EEG
Epileptic seizure detection using scalp electroencephalogram (sEEG) and intracranial
electroencephalogram (iEEG) has attracted widespread attention in recent two decades …
electroencephalogram (iEEG) has attracted widespread attention in recent two decades …
High-quality image compressed sensing and reconstruction with multi-scale dilated convolutional neural network
Deep learning (DL)-based compressed sensing (CS) has been applied for better
performance of image reconstruction than traditional CS methods. However, most existing …
performance of image reconstruction than traditional CS methods. However, most existing …
An attention-based wavelet convolution neural network for epilepsy EEG classification
Q Xin, S Hu, S Liu, L Zhao… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
As a kind of non-invasive, low-cost, and readily available brain examination, EEG has
attached significance to the means of clinical diagnosis of epilepsy. However, the reading of …
attached significance to the means of clinical diagnosis of epilepsy. However, the reading of …
Real-time epilepsy seizure detection based on EEG using tunable-Q wavelet transform and convolutional neural network
M Shen, P Wen, B Song, Y Li - Biomedical Signal Processing and Control, 2023 - Elsevier
Epilepsy is a chronic disease caused by sudden abnormal discharge of brain neurons,
leading to transient brain dysfunctions. This paper proposed an EEG based real-time …
leading to transient brain dysfunctions. This paper proposed an EEG based real-time …
Epileptic seizure detection based on bidirectional gated recurrent unit network
Y Zhang, S Yao, R Yang, X Liu, W Qiu… - … on Neural Systems …, 2022 - ieeexplore.ieee.org
Visual inspection of long-term electroencephalography (EEG) is a tedious task for
physicians in neurology. Based on bidirectional gated recurrent unit (Bi-GRU) neural …
physicians in neurology. Based on bidirectional gated recurrent unit (Bi-GRU) neural …
Epileptic seizure detection by cascading isolation forest-based anomaly screening and EasyEnsemble
The electroencephalogram (EEG), for measuring the electrophysiological activity of the
brain, has been widely applied in automatic detection of epilepsy seizures. Various EEG …
brain, has been widely applied in automatic detection of epilepsy seizures. Various EEG …