Regulation of Brain Cognitive States Through Sensory Stimulation with Wearable Monitoring
Year: 2023
N: 28 (15 + 13 across 2 experiments)
Access: PhysioNet — free download, requires free account
Tier: 2
Overview
Dual-experiment dataset where participants performed n-back working memory tasks while exposed to music, coffee, and perfume as controlled sensory stimulation. Synchronized dual-wrist Empatica E4 recordings with EEG from Muse headband. Provides labeled cognitive load conditions (1-back vs 3-back) with graded performance metrics (response time + accuracy).
Signals
| Modality | Device | Signals |
|---|---|---|
| Wrist (both) | Empatica E4 | EDA (4 Hz), BVP (64 Hz), HR, IBI, TEMP (4 Hz), ACC (32 Hz) |
| Headband | Muse 2016 | EEG (4 channels, raw + band powers) |
Why it fits
Directly relevant to the Meltdown Minder use case: dual-wrist E4 recordings during cognitive stress tasks with graded difficulty. The sensory stimulation (music, coffee, perfume) provides affect modulation, enabling cross-modal arousal detection. Same Empatica E4 hardware as several Tier 1 datasets (WESAD, TILES). Good for training models that distinguish cognitive load levels from peripheral physiology alone.
Labels
- 1-back (low cognitive load)
- 3-back (high cognitive load)
- Baseline (resting)
- Sensory stimulation conditions: music, coffee, perfume
Linked To
- Hardware: Empatica E4
- Dataset: WESAD
- Dataset: TILES-2018