![Detection of Paroxysms in Long-Term, Single Channel EEG-Monitoring of Patients with Typical Absence Seizures - IEEE Journal of Translational Engineering in Health and Medicine (JTEHM) Detection of Paroxysms in Long-Term, Single Channel EEG-Monitoring of Patients with Typical Absence Seizures - IEEE Journal of Translational Engineering in Health and Medicine (JTEHM)](https://www.embs.org/wp-content/uploads/2017/01/detection-of-paroxysms.jpg)
Detection of Paroxysms in Long-Term, Single Channel EEG-Monitoring of Patients with Typical Absence Seizures - IEEE Journal of Translational Engineering in Health and Medicine (JTEHM)
![Seizure likelihood varies with day-to-day variations in sleep duration in patients with refractory focal epilepsy: A longitudinal electroencephalography investigation - eClinicalMedicine Seizure likelihood varies with day-to-day variations in sleep duration in patients with refractory focal epilepsy: A longitudinal electroencephalography investigation - eClinicalMedicine](https://www.thelancet.com/cms/attachment/01670f0a-d8f2-4b8b-8980-5915211311e8/gr1_lrg.jpg)
Seizure likelihood varies with day-to-day variations in sleep duration in patients with refractory focal epilepsy: A longitudinal electroencephalography investigation - eClinicalMedicine
![Seizure classification with selected frequency bands and EEG montages: a Natural Language Processing approach | Brain Informatics | Full Text Seizure classification with selected frequency bands and EEG montages: a Natural Language Processing approach | Brain Informatics | Full Text](https://media.springernature.com/lw685/springer-static/image/art%3A10.1186%2Fs40708-022-00159-3/MediaObjects/40708_2022_159_Fig2_HTML.png)
Seizure classification with selected frequency bands and EEG montages: a Natural Language Processing approach | Brain Informatics | Full Text
![Entropy | Free Full-Text | Detecting Epileptic Seizures in EEG Signals with Complementary Ensemble Empirical Mode Decomposition and Extreme Gradient Boosting Entropy | Free Full-Text | Detecting Epileptic Seizures in EEG Signals with Complementary Ensemble Empirical Mode Decomposition and Extreme Gradient Boosting](https://pub.mdpi-res.com/entropy/entropy-22-00140/article_deploy/html/images/entropy-22-00140-g003.png?1583549168)
Entropy | Free Full-Text | Detecting Epileptic Seizures in EEG Signals with Complementary Ensemble Empirical Mode Decomposition and Extreme Gradient Boosting
![Comparison of different input modalities and network structures for deep learning-based seizure detection | Scientific Reports Comparison of different input modalities and network structures for deep learning-based seizure detection | Scientific Reports](https://media.springernature.com/lw685/springer-static/image/art%3A10.1038%2Fs41598-019-56958-y/MediaObjects/41598_2019_56958_Fig1_HTML.png)
Comparison of different input modalities and network structures for deep learning-based seizure detection | Scientific Reports
![Figure 69. [Absence seizure. During an absence...]. - Electroencephalography (EEG): An Introductory Text and Atlas of Normal and Abnormal Findings in Adults, Children, and Infants - NCBI Bookshelf Figure 69. [Absence seizure. During an absence...]. - Electroencephalography (EEG): An Introductory Text and Atlas of Normal and Abnormal Findings in Adults, Children, and Infants - NCBI Bookshelf](https://www.ncbi.nlm.nih.gov/books/NBK390347/bin/f69.jpg)