Biosignals — Data Braids

Cardiac waveform data for arrhythmia detection algorithm development and sovereign health monitoring validation.

PhysioNet MIT-BIH

MIT-BIH Arrhythmia Database. 48 half-hour two-channel ambulatory ECG recordings from 47 subjects studied by the BIH Arrhythmia Laboratory. Gold standard for cardiac arrhythmia detection algorithm development and benchmarking.

What’s Possible

• Train and validate arrhythmia detection models (healthSpring)
• Baseline for sovereign health monitoring on gate hardware
• Combine with GTEx V8 tissue expression for cardiac gene expression context

The Braid

sweetGrass braid.create produced a W3C PROV-O JSON-LD attestation:

{
  "@context": "https://www.w3.org/ns/prov#",
  "@id": "urn:braid:physionet-mitbih-westgate-20260729",
  "prov:wasGeneratedBy": {
    "@type": "prov:Activity",
    "prov:used": "https://physionet.org/content/mitdb/",
    "prov:wasAssociatedWith": "did:eco:westgate"
  },
  "prov:wasAttributedTo": "did:eco:westgate",
  "prov:generatedAtTime": "2026-07-29T...",
  "eco:license": "ODbl-1.0",
  "eco:blake3_root": "...",
  "eco:file_count": 1,
  "eco:size_bytes": 23068672
}

See Also

• Gene Expression — GTEx V8 (tissue context)
• Drug Discovery — ChEMBL (cardiac drug targets)