Classification of Epileptic iEEG using Topological Machine Learning

Researchers have used topological data analysis (TDA) to improve epileptic seizure detection from intracranial EEG (iEEG) signals, achieving up to 80% balanced accuracy in classifying brain states across three categories. This approach reduces model complexity while maintaining high performance, demonstrating the effectiveness of TDA features and dimensionality reduction techniques for handling complex neural data.

Read the full article at arXiv cs.LG (ML)

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