EEG SignalVol. 1 · No. 43

Section

Signal Processing & AI

Artifact handling, source localization and machine learning on EEG.

  1. Single-Channel EEG Model Improves Automatic Sleep Stage Classification

    A machine learning model classifies sleep stages from one EEG channel, improving on standard multi-channel automatic staging and easing the path to ambilingual screening.

  2. NeuroImage Study Maps How Amplitude Conditioning Reshapes Brain Networks

  3. Global context model holds rodent sleep staging steady under drug shifts

  4. Deep Learning Turns Sleep EEG Into an Interpretable Brain Health Marker

  5. Golden Ratio Structure Shows Up in Human EEG, Multi-Dataset Study Finds

  6. Deep Learning Meets EEG: A Headline Without a Body

  7. EEG Models Inflated by Subject Overlap Between Training and Test Sets

  8. EEG connectivity framework targets major depression recognition

  9. Self-Supervised Transformer Detects Alzheimer's From Resting-State EEG

  10. Ensemble AI Reads Scalp EEG to Separate Dementias

  11. EEG Preprocessing Order Can Permanently Distort Brain Networks

  12. Explainable AI Framework Translates EEG Into Depression Clues

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