arXiv Machine Learning August 5, 2026 By Jacob Kang, Jong-Hyeon Seo

Detecting high-frequency brain disorder signals using dynamic mode decomposition from EEG

Read the original on arXiv Machine Learning →

arXiv:2608. 02804v1 Announce Type: cross Abstract: Recent studies have reported clearly identifiable dynamical changes in the high-frequency range of EEG signals recorded during specific stimuli, such as visual or auditory inputs, or in cases of brain disorders like epileptic seizures.

Summary generated by The Flow from the publisher's feed. The full article lives at arXiv Machine Learning.

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