Machine Learning Characterization of Ictal and Interictal States in EEG Aimed at Automated Seizure Detection

Research article (Biomedicines, 2022) · cited 13× · AI/ML
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Machine Learning Characterization of Ictal and Interictal States in EEG Aimed at Automated Seizure Detection

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Machine Learning Characterization of Ictal and Interictal States in EEG Aimed at Automated Seizure Detection is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Machine Learning Characterization of Ictal and Interictal States in EEG Aimed at Automated Seizure Detection. Retrieved May 24, 2026, from https://4ort.xyz/entity/machine-learning-characterization-of-ictal-and-interictal-states-in-eeg-aimed-at-automated-seizure-detection
MLA “Machine Learning Characterization of Ictal and Interictal States in EEG Aimed at Automated Seizure Detection.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/machine-learning-characterization-of-ictal-and-interictal-states-in-eeg-aimed-at-automated-seizure-detection.
BibTeX @misc{4ortxyz_machine-learning-characterization-of-ictal-and-interictal-states-in-eeg-aimed-at-automated-seizure-detection_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Machine Learning Characterization of Ictal and Interictal States in EEG Aimed at Automated Seizure Detection}}, year = {2026}, url = {https://4ort.xyz/entity/machine-learning-characterization-of-ictal-and-interictal-states-in-eeg-aimed-at-automated-seizure-detection}, note = {Accessed: 2026-05-24}}
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