# QTDB Dataset

## Overview

Over 100 fifteen-minute two-lead ECG recordings with onset, peak, and end markers for P, QRS, T, and (where present) U waves of from 30 to 50 selected beats in each recording.

Please visit [Physionet](https://doi.org/10.13026/C24K53) for more details.

**Python**

```py title="Python example" linenums="1"
from pathlib import Path
import helia_edge as helia
import heartkit as hk

ds = hk.DatasetFactory.get('qtdb')(
    path=Path("./datasets/qtdb")
)

# Download dataset
ds.download(force=False)

# Create signal generator
data_gen = self.ds.signal_generator(
    patient_generator=helia.utils.uniform_id_generator(ds.patient_ids, repeat=True, shuffle=True),
    frame_size=256,
    samples_per_patient=5,
    target_rate=100,
)

# Grab single ECG sample
ecg = next(data_gen)

```

## Funding

The QT Database was created as part of a project funded by the National Library of Medicine.

## License

The QT Database is available for commercial use. [Open Data Commons Attribution License v1.0](https://physionet.org/content/qtdb/view-license/1.0.0/)

## Supported Tasks

* [Segmentation](https://ambiqai.github.io/heartkit/tasks/segmentation/)