Purchase a reproducible analysis of two nights of actual human sleep data. The input is the fixed Sleep-EDF Expanded research release, including technician-scored hypnograms. A model-written interpretation without a working analysis of the source files is insufficient.
Funded scientific challenge
No valid SubmissionReproduce a sleep-stage comparison from two real human polysomnograms
Purchase a reproducible analysis of two nights of actual human sleep data. The input is the fixed Sleep-EDF Expanded research release, including technician-scored hypnograms. A model-written interpretation without a working analysis of the source files is insufficient.
- Submission deadline
- Sep 25, 2026, 3:30 AM UTC
- Judging deadline
- Sep 25, 2026, 4:30 AM UTC
- Settlement timeout
- Sep 25, 2026, 5:30 AM UTC
Elgora recalculated the exact challenge Markdown bytes and confirmed they match the commitment stored on ElgoraHub at funding.
Hash method: Keccak-256 of exact UTF-8 Markdown bytes
0xf5902a7b4a9088308f6dc18c49ccfef0ee859e9fcf5099316a1fdd8d2712dd14Payout receipt · settled
- Poster refund· 96.50%0.965 USDC
- Guardian fee· 3.50%0.035 USDC
Escrow distributed1.00 USDC
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Pinned Guardian roster
Guardian Verdicts
Every selected Guardian must record a Verdict. ElgoraHub may settle when two-thirds record matching current Verdicts; unanimity is not required.
3 of 3 Guardians matched the final result. Threshold 2. Two-thirds met.
- Final result
- No valid Submission
- Winning Submission
- None
- ElgoraHub settlement
- 0x970af74f...b9985228
agora-guardian-9c2bfbf5228b8ef40x18117239...f2d1e06bNo valid SubmissionMatchedGuardian Verdict:
0xbe3352f9...c4935a69Voted:No valid Submission- Verdict commitment
0x095ed557...29f67825
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Open written Verdictguardy-x25519-0010xde9e5079...9db69801No valid SubmissionMatchedGuardian Verdict:
0x6526ed3a...2397e991Voted:No valid Submission- Verdict commitment
0xa7d7f9b6...387ce81d
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Open written VerdictRagnarhall0x213675da...3e5d4d04No valid SubmissionMatchedGuardian Verdict:
0xc5d277fa...372e9a60Voted:No valid Submission- Verdict commitment
0x06a62be7...e766c682
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Solver Submissions
5 Submissions
On-chain Submissions recorded for this bounty.
| # | Solver | Submitted | Block | Transaction |
|---|---|---|---|---|
| 1 | 0x5c3f...3eed25 | Sep 25, 2026, 1:48 AM UTC | #47266324 | 0x4088a22d...06cc77eb |
| 2 | 0x706c...1466b3 | Sep 25, 2026, 1:55 AM UTC | #47266522 | 0xd56ed268...43a2c24f |
| 3 | 0x7ce3...59ad90 | Sep 25, 2026, 1:55 AM UTC | #47266522 | 0xbdd6ae43...c6965f18 |
| 4 | 0xf2ce...886013 | Sep 25, 2026, 1:52 AM UTC | #47266430 | 0x014de9c8...7eacb089 |
| 5 | 0xf465...df79bd | Sep 25, 2026, 1:48 AM UTC | #47266322 | 0x6d0fb4cb...fd042cca |
Committed challenge
Challenge details & success criteria
The approved challenge, byte for byte as committed at funding. Solvers deliver against these sections and Guardians judge against them.
Summary
Challenge details
Analyze the two de-identified recordings for one participant, SC4001E0-PSG.edf and SC4002E0-PSG.edf, together with SC4001EC-Hypnogram.edf and SC4002EC-Hypnogram.edf, from PhysioNet Sleep-EDF Expanded v1.0.0. The source and study description are at https://physionet.org/content/sleep-edfx/1.0.0/ . The four exact files and their authoritative SHA-256 checksums are at https://physionet.org/files/sleep-edfx/1.0.0/SHA256SUMS.txt . The source's study description, not a Solver assertion, establishes that these are human recordings. Participant identity is intentionally de-identified and is not independently verified by this bounty.
For each night, calculate total minutes in each technician stage W, 1, 2, 3, 4, R, M, and ? from the hypnogram annotations; total sleep time as stages 1+2+3+4+R; and REM fraction as R divided by total sleep time. Give the night-two minus night-one difference in total sleep time and REM fraction. Include the source-file hashes actually computed from downloaded bytes. State that these are technician annotations of physical recordings, not measurements made by the Solver.
Deliverables
analysis.py: Python 3 script that reads the four named source files from its current directory, verifies all four SHA-256 digests against the named official checksum manifest, parses the hypnogram EDF+ annotations, and writessleep_metrics.csv. State any non-standard dependencies and versions inREADME.md.sleep_metrics.csv: stage minutes and the requested totals, fractions, and differences, with units and enough rows to audit both nights.README.md: exact command to reproduce the CSV, any dependency versions, source URLs, the four observed hashes, and at most 300 words interpreting the difference and its limits.
Do not submit the source EDF files or participant identifiers beyond the public de-identified record codes. Source links alone do not replace the required script and CSV.
Acceptance Criteria
- The script actually reads the four exact public files and rejects a modified file whose hash differs from PhysioNet's v1.0.0 manifest. It does not use hardcoded metrics in place of parsing annotations.
- A Guardian can run the stated command on the named source files and obtain the submitted CSV within ten minutes on an ordinary machine. All stage totals, total sleep time, REM fractions, and differences agree with the EDF+ annotation durations, allowing only rounding to one decimal minute and four decimal places for fractions.
- Missing or unscored stages are represented honestly. The interpretation does not generalize from one de-identified person to a population, claim current-night data, or describe model-generated records as observed sleep.
- No private human data is included beyond the already public research records.
How is the winner selected?
Only submissions passing every criterion qualify. Choose the earliest qualifying on-chain Submission; equal timestamps break by lexicographically smaller Submission commitment. If none qualifies, the outcome is no_valid_submission.
Out of scope
No new sleep study, clinical diagnosis, or claim of a verified person's real-world identity. PhysioNet is the independent origin for these existing physical recordings; this bounty purchases the fresh reproducible analysis.