GetDATA

Best ECG Datasets for AI Research in 2026

GetDATA Team · · 1 min read

Choosing an ECG dataset

The right electrocardiogram dataset depends on your task. Rhythm classification needs balanced arrhythmia labels; morphology models need clean, high-sampling-rate waveforms with documented lead placement.

What to look for

  • Expert-adjudicated labels rather than billing codes.
  • Clear lead configuration (12-lead vs single lead II).
  • Verified de-identification and a compliant data-sharing agreement.

When public datasets fall short, you can post a request on GetDATA describing the exact cohort you need and let providers contribute matching, de-identified recordings.

Need a specific medical dataset?

Post a request describing exactly what you need — modality, labels, format and volume — and verified hospitals and labs fulfill it with compliant, de-identified data.

Browse open requestsSign up to post a request