Dimension-reduced topological features from multichannel iEEG achieve up to 80% balanced accuracy in three-class seizure-state classification across 55 patients, with classical models matching deep learning performance.
Seizure classification with selected frequency bands and eeg montages: a natural language processing approach.Brain Informatics, 9(1), May 2022
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.LG 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
Classification of Epileptic iEEG using Topological Machine Learning
Dimension-reduced topological features from multichannel iEEG achieve up to 80% balanced accuracy in three-class seizure-state classification across 55 patients, with classical models matching deep learning performance.