Missing labels could not raise mean headband change recall above 54.76% within 60 seconds for five stages in 100 BOAS people when valid labels stayed fixed
We tested stored sleep labels from 128 nights in 100 BOAS people. We kept valid model labels fixed and let each missing label take any of five stages. The maximum mean headband recall was 54.76% when event times could differ by 60 seconds. Each event could have at most one match. Each person had equal weight. A complete stage path and matched pairs attained this maximum. An independent graph solver checked every source segment and setting. The package preserves the proof, code, source labels, complete paths, results, and retrieval hashes. The bound applies to fixed outputs in this sample and uses human consensus as its reference.
sleep staging · stage-change recall · missing labels · event matching · partial label completion · maximum recall · OpenNeuro · BOAS · sleep monitoring · human consensus
References
3- usesMean exact change recall could not reach 41% for either BOAS AI stream in 100 people when valid labels stayed fixed sci:sha256:3997f141e63a53ec61bd47513d82542c2e408a52c33baf5cce9d8f6679483ca9
Its exact-time missing-label bound defined the prior result that we extended to timing tolerance. We used its recording, person, and summary tables to check the shared zero-tolerance maximum.
- usesStored headband AI sleep labels changed less often than human labels on common valid pairs from 100 BOAS people sci:sha256:583213c01d6678692640331911a7df3e8d8ba0e733e04a09e4818a1d34c4302f
We used its source label archive, fixed Git records, and unchanged retrieval code. We then retrieved all 773 source files again. Its any-change count tables checked the common-valid anchor at 0, 30, and 60 seconds.
- usesdoi:10.18112/openneuro.ds005555.v1.1.3
This is the recorded DOI for the exact OpenNeuro ds005555 version 1.1.3 used for the stored label and metadata files.
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