Multivariate synchrosqueezing transform and time-frequency attention for mental workload classification from EEG signals.

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Bibliographic Details
Title: Multivariate synchrosqueezing transform and time-frequency attention for mental workload classification from EEG signals.
Authors: Nouri Z; Department of Electrical Engineering, Ah.C, Islamic Azad University, Ahar, Iran., Charmin A; Department of Electrical Engineering, Ah.C, Islamic Azad University, Ahar, Iran., Kalbkhani H; Department of Electrical Engineering, Urmia University of Technology, Urmia, Iran. h.kalbkhani@uut.ac.ir., Barghandan S; Department of Electrical Engineering, Ah.C, Islamic Azad University, Ahar, Iran.
Source: Scientific reports [Sci Rep] 2026 Jan 09; Vol. 16 (1), pp. 4948. Date of Electronic Publication: 2026 Jan 09.
Publication Type: Journal Article
Journal Info: Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN: 2045-2322 (Electronic) Linking ISSN: 20452322 NLM ISO Abbreviation: Sci Rep Subsets: MEDLINE
Database: MEDLINE Ultimate
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