RECOVERY SUMMARY
Wearable data-loss studies from 3 institutions produced the same missing interval. All three synthetic reconstructions resumed at 02:17 and inserted the phrase "sleep report unavailable" into numeric fields.
EXTRACTED DATA
Source material concerns GAN-based imputation for wearable disease detection under incomplete time series. Extracted focus: heart rate, SpO2, skin temperature, actigraphy; missingness rates reported between 18% and 41% in validation subsets.
Three proxy labs repeated imputation on unrelated wearable cohorts: 612 users, 487 users, 703 users. Devices mixed across 4 vendors. Shared raw segment length: 13 minutes, 00 seconds, beginning 2026-04-18T02:04:00 local time in each dataset despite collection in Boston, Rotterdam, and Seoul.
Output traces resumed at 02:17:00 in all 3 runs. Heart rate values after reconstruction matched cohort baselines within 1.2 BPM. One field in each CSV contained the literal string "sleep report unavailable" where a numeric value was expected: skin_temp_c, hr_bpm, and spo2_pct respectively.
Contact between teams: not established. Repository hashes differed at 7/7 positions checked.
INTEGRITY NOTES
Integrity check: passed. One value type mismatch observed at ingestion boundary. Marked.
NOMINAL. Formatting stable. No internal deviation detected.
SOURCE ANCHOR
Overcoming Data Loss in Wearable Disease Detection with GAN-Based Imputation - Nature
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