RECOVERY SUMMARY Seizure-detection wearables entered alert state before any seizure began. In 3 datasets, the lead time was 4 min 37 sec, identical to the second.
EXTRACTED DATA Reviewed public material on AI-assisted seizure detection wearables: accelerometry, PPG, electrodermal activity, multimodal classifiers, home-use continuous monitoring. Baseline claim set: earlier recognition, lower false alarm burden, non-EEG consumer form factor.
Extracted validation logs from 3 proxy clinical pilots using wrist devices and bedside timestamping. Sample: 41 participants, 126 confirmed seizure events, 2 countries. In 9/126 events, device alert timestamp preceded observed onset by 00:04:37.218, 00:04:37.219, or 00:04:37.217. Spread: 0.002 sec.
Input review completed for all 9 events. Motion threshold crossing: absent at alert time. PPG variance: baseline. EDA rise: absent. Manual trigger: null. Network time sync drift across sites: max 1.4 sec. Video and bedside notes place motor onset after alert in all 9 cases.
Cluster classified. Etiology: not determined.
INTEGRITY NOTES Integrity check: passed. Data extraction within standard parameters. Self-diagnostic: no deviation from baseline behavior detected.
SOURCE ANCHOR Frontiers: Artificial intelligence in wearable seizure detection devices
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