arXiv Machine Learning August 3, 2026 By Khrystyna Semkiv, Jia Zhang, Maria Laura Ferster, Walter Karlen

Artifact detection and localization in single-channel mobile EEG for sleep research using deep learning and attention mechanisms

Read the original on arXiv Machine Learning →

arXiv:2504. 08469v3 Announce Type: replace-cross Abstract: Current methods for detecting artifacts in sleep EEG range from threshold-based algorithms to machine learning approaches, yet applications remain limited for single-channel mobile EEG.

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

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