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Phenotypic Classification of Scalp High-Frequency Oscillations in Absence Epilepsy Based on Multiple Characteristics Using K-Means Clustering

Scalp high-frequency oscillations (HFOs) are promising noninvasive biomarkers of epileptogenicity, but their phenotypic diversity and clinical relevance in absence epilepsy (AE) remain unclear. This study aimed to classify scalp HFOs in AE using k-means clustering based on multiple morphological cha...

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Tallennettuna:
Päätekijät: Keisuke Maeda, Himari Tsuboi, Nami Hosoda, Junichi Fukumoto, Shiho Fujita, Shunta Yamaguchi, Naohiro Ichino, Keisuke Osakabe, Keiko Sugimoto, Gen Furukawa, Naoko Ishihara
Aineistotyyppi: Artigo
Kieli:Inglês
Julkaistu: MDPI AG 2026-01-01
Sarja:Bioengineering
Aiheet:
high-frequency oscillations
absence epilepsy
k-means clustering analysis
biomarker
electroencephalography
Linkit:https://www.mdpi.com/2306-5354/13/1/65
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