Dataset inspector

Open any dataset from the study overview to reach /datasets/{id} — the main workspace for one recording.

Tabs

Explorer

Interactive signal view:

• ECG / PPG — downsampled waveform with pan/zoom; R-peak or pulse peak markers
• RR CSV — RR interval tachogram
• Quality overlay when preprocess has run (low-SQI segments highlighted)

Requires a completed preprocess run (or RR upload) for full detail.

Overview

Pipeline actions and latest metrics:

Signal type	Typical sequence
ECG	Preprocess ECG → Compute HRV → Arrhythmia burden (optional)
RR CSV	Compute HRV directly
PPG	Preprocess PPG → Compute PRV
BP	Analyze BP

Panels show:

• Preprocess — SQI, peak count, artifact rate; run/re-run button
• HRV / PRV — metric cards with units; links to source run
• Arrhythmia burden — irregularity % and pause metrics when RR exists
• Signal metadata — format, sample rate, duration, channels

Annotations

Add time-range labels and notes on the recording timeline. Annotations persist with the dataset for collaboration and QC notes.

Runs

Full pipeline history for this dataset:

• Status badges per run
• Links to run detail
• Select two completed runs → Compare selected

Running pipelines

1. Click the pipeline action (for example Run preprocessing)
2. The job enters pending then running — watch Jobs in the navbar
3. On completion, metric panels refresh automatically
4. Failed runs show error messages on the run detail page

Use Full ECG analysis (via generic job API) to chain preprocess + HRV in one run when calling the analysis service directly.

Interpret from dataset context

When HRV completes, use Interpret from the linked run detail page. The narrative cites RMSSD, LF/HF, SQI, and arrhythmia burden when available.