A Novel Hybrid Approach for Drowsiness Detection Using EEG Scalograms to Overcome Inter-Subject Variability.

Sensors (Basel) · 2025 · PMC12431132 · PMID 40942959

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highly significantp < 0.001actually significant

The comparison between the DROZY (98.33%) and SEED-VIG (95.8%) datasets revealed a highly significant difference (t = 23.72, p < 0.001), confirming that the absence of C3 and C4 electrodes in SEED-VIG had a measurable impact on performance.

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