The Icentia11k Single Lead Continuous Raw Electrocardiogram Dataset
This is a dataset of continuous raw electrocardiogram (ECG) signals containing 11 thousand patients and 2 billion labelled beats. The signals were recorded with a 16-bit resolution at 250Hz with a fixed chest mounted single lead probe for up to 2 weeks. The average age of the patient is 62.2±17.4 years. 20 technologists annotated each beat’s type (Normal, Premature Atrial Contraction, Premature Ventricular contraction) and rhythm (Normal Sinusal Rhythm, Atrial Fibrillation, Atrial Flutter).
More info: https://www.physionet.org/content/icentia11k-continuous-ecg/
More info: https://arxiv.org/abs/1910.09570
Citation:
Tan, S., Androz, G., Ortiz-Gagné, S., Chamseddine, A., Fecteau, P., Courville, A., Bengio, Y., & Cohen, J. P. (2021). Icentia11K: An Unsupervised Representation Learning Dataset for Arrhythmia Subtype Discovery. Computing in Cardiology Conference (CinC).