Gradient Biotech

Sample data

If you don't have your own recordings yet, use these to try the workflow before uploading real study data.

A real ECG recording (WFDB)

The PhysioNet MIT-BIH Arrhythmia Database is free, public, and downloadable from your browser — no account or software needed.

  1. Open the record list and pick any record (for example 100)
  2. Download its .hea and .dat files (same base name, e.g. 100.hea + 100.dat)
  3. Upload both files together in the app — WFDB requires the pair

This gives you a real 30-minute, 360 Hz ECG recording suitable for preprocessing, HRV, and morphology analysis.

A minimal ECG CSV

If you just want to test a CSV upload, create a two-column file — time in seconds, ECG amplitude — in any spreadsheet program and save it as .csv:

time,value
0.000,0.02
0.003,0.05
0.006,0.11
0.008,0.09
0.011,0.03

A header row is optional. A few hundred rows (a few seconds at a reasonable sample rate) is enough to test the upload and preprocessing flow; real analysis needs a longer recording (at least a few minutes for meaningful HRV).

RR interval, PPG, and blood pressure samples

The same idea works for other modalities — export or construct a small CSV matching the columns described in File formats:

  • RR intervals — a single rr_ms column of beat-to-beat intervals in milliseconds
  • Blood pressure — timestamp plus SBP/DBP columns
  • PPG — same time + amplitude shape as ECG, just detected as PPG on upload

Suggested first walkthrough

  1. Create a study
  2. Upload the MIT-BIH recording (or your own WFDB/CSV file)
  3. Run preprocessing, then HRV, from Analyze → Signal Explorer
  4. Try Interpret on the completed HRV run
  5. If you have more than one subject's data, import a subjects CSV and try Analyze → Cohort comparison

See Quick start for the full walkthrough, and File formats for exact column requirements per modality.