[HTML][HTML] Seizure detection, seizure prediction, and closed-loop warning systems in epilepsy
Nearly one-third of patients with epilepsy continue to have seizures despite optimal
medication management. Systems employed to detect seizures may have the potential to …
medication management. Systems employed to detect seizures may have the potential to …
Automated seizure prediction
In the past two decades, significant advances have been made on automated
electroencephalogram (EEG)-based diagnosis of epilepsy and seizure detection. A number …
electroencephalogram (EEG)-based diagnosis of epilepsy and seizure detection. A number …
Performance evaluation of empirical mode decomposition, discrete wavelet transform, and wavelet packed decomposition for automated epileptic seizure detection …
This study proposes a new model which is fully specified for automated seizure onset
detection and seizure onset prediction based on electroencephalography (EEG) …
detection and seizure onset prediction based on electroencephalography (EEG) …
Focal onset seizure prediction using convolutional networks
H Khan, L Marcuse, M Fields… - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
Objective: This paper investigates the hypothesis that focal seizures can be predicted using
scalp electroencephalogram (EEG) data. Our first aim is to learn features that distinguish …
scalp electroencephalogram (EEG) data. Our first aim is to learn features that distinguish …
DWT based detection of epileptic seizure from EEG signals using naive Bayes and k-NN classifiers
Electroencephalogram (EEG) comprises valuable details related to the different
physiological state of the brain. In this paper, a framework is offered for detecting the …
physiological state of the brain. In this paper, a framework is offered for detecting the …
[書籍][B] Biomedical signal analysis
RM Rangayyan, S Krishnan - 2024 - books.google.com
Biomedical Signal Analysis Comprehensive resource covering recent developments,
applications of current interest, and advanced techniques for biomedical signal analysis …
applications of current interest, and advanced techniques for biomedical signal analysis …
EEG seizure detection and prediction algorithms: a survey
Epilepsy patients experience challenges in daily life due to precautions they have to take in
order to cope with this condition. When a seizure occurs, it might cause injuries or endanger …
order to cope with this condition. When a seizure occurs, it might cause injuries or endanger …
Seizure prediction in scalp EEG using 3D convolutional neural networks with an image-based approach
Epileptic seizures occur as a result of a process that develops over time and space in
epileptic networks. In this study, we aim at develo** a generalizable method for patient …
epileptic networks. In this study, we aim at develo** a generalizable method for patient …
Towards accurate prediction of epileptic seizures: A review
Recent research has investigated the possibility of predicting epileptic seizures. Intervention
before the onset of seizure manifestations could be envisioned with accurate seizure …
before the onset of seizure manifestations could be envisioned with accurate seizure …
Seizure prediction with spectral power of EEG using cost‐sensitive support vector machines
Purpose: We propose a patient‐specific algorithm for seizure prediction using multiple
features of spectral power from electroencephalogram (EEG) and support vector machine …
features of spectral power from electroencephalogram (EEG) and support vector machine …