| Format | 12-lead · 10 s · 500 Hz (also 100 Hz) |
|---|---|
| Patients | 18,869 |
| Records | 21,799 |
| Leads | 12 |
| License | CC BY 4.0 |
| Origin | Physikalisch-Technische Bundesanstalt — Germany |
PTB-XL is a large, publicly available 12-lead ECG dataset with 21,799 clinical records from 18,869 patients, collected at the Physikalisch-Technische Bundesanstalt (PTB) between October 1989 and June 1996. Each record is 10 seconds long and provided at both 500 Hz and 100 Hz. Records are annotated with up to 71 SCP-ECG statements grouped into 5 diagnostic superclasses (NORM, MI, STTC, CD, HYP).
ECGBench bundles a deterministic 10-fold stratified patient-level split
derived from the SCP superclass labels, ready to consume via the
ECGDataset class.
| Superclass | Description | Records |
|---|---|---|
| NORM | Normal ECG | 9,514 |
| MI | Myocardial Infarction | 5,486 |
| STTC | ST/T changes | 5,250 |
| CD | Conduction disturbance | 4,907 |
| HYP | Hypertrophy | 2,655 |
from ecgbench import ECGDataset, ecg_collate_fn
from torch.utils.data import DataLoader
# Load the training split (folds 1-8) at 100 Hz
dataset = ECGDataset(
physionet_path="/path/to/ptb-xl/1.0.3/",
dataset_name="ptbxl",
split="train",
frequency="100",
)
loader = DataLoader(dataset, batch_size=32, collate_fn=ecg_collate_fn)
for batch in loader:
signals = batch["signal"] # (B, 12, 1000) at 100 Hz
ecg_ids = batch["ecg_id"] # list of record IDs
labels = batch["scp_codes"] # list of per-record SCP dicts
breakfrom ecgbench import get_dataset
entry = get_dataset("ptb-xl")
print(entry.patients, entry.records, entry.access)
# -> 18,869 21,799 open