Quick start
This walkthrough covers a single ECG recording from upload to interpretation.
1. Create a study
Click Create study. Enter a name (for example ECG demo) and optional description.
2. Upload a recording
Open Upload and add either:
- CSV — one file with time (seconds) and ECG amplitude columns
- WFDB —
.heaand.dattogether (PhysioNet-style)
Don't have a recording handy? See Sample data for a free, publicly downloadable ECG recording you can upload right away.
3. Run preprocessing
Go to Analyze → Signal Explorer, pick your dataset from the dropdown, then click Run preprocessing on the Overview tab. Wait for the job to complete — watch the Jobs panel in the navbar.
4. Compute HRV
When preprocessing completes, click Compute HRV on the same tab. Review time-domain metrics (SDNN, RMSSD, mean HR) and frequency metrics (LF, HF, LF/HF) in the HRV panel.
5. Explore the signal
Switch to the Explorer tab (still inside Signal Explorer). Pan and zoom the downsampled waveform. R-peak markers overlay the trace; low-quality segments may be highlighted when SQI is poor.
6. Interpret (optional)
Open the HRV run from the Runs tab or the recent-runs panel, and click Interpret on the run detail page for a plain-language summary that cites your computed metrics. Or, once you have a few completed runs, use the study-level Interpret tab to generate one grounded summary across everything completed so far.
If Interpret isn't available in your workspace, ask your administrator to enable AI interpretation.
Next steps
- Key concepts
- Subjects and cohorts — multi-subject studies
- Pipelines reference — all available analysis steps