arxiv
PublishedJune 12, 2026 at 4:00 AM
—neutral
End-to-End Machine Learning for Depressive State Classification via EEG and fNIRS
Publisher summary· verbatim
arXiv:2606.11555v1 Announce Type: cross Abstract: The escalating demand for mental healthcare, driven by rising societal stress, highlights the limitations of traditional psychiatric diagnostics. Conventional methods - relying primarily on clinical interviews and patient self-reports - are inherentl
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Originally published on arxiv ↗