Annotated 12 lead ECG dataset
Universidade Federal de Minas Gerais · Uppsala University · +2 more institutions
Abstract
# Annotated 12 lead ECG dataset Contain 827 ECG tracings from different patients, annotated by several cardiologists, residents and medical students. It is used as test set on the paper: "Automatic Diagnosis of the Short-Duration12-Lead ECG using a Deep Neural Network". It contain annotations about 6 different ECGs abnormalities: - 1st degree AV block (1dAVb); - right bundle branch block (RBBB); - left bundle branch block (LBBB); - sinus bradycardia (SB); - atrial fibrillation (AF); and, - sinus tachycardia (ST). ## Folder content: - `ecg_tracings.hdf5`: HDF5 file containing a single dataset named `tracings`. This dataset is a `(827, 4096, 12)` tensor. The first dimension correspond to the 827 different exams…
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Authors
12- AHAntônio H. RibeiroCorresponding
Universidade Federal de Minas Gerais
- RMRibeiro, Manoel Horta
Universidade Federal de Minas Gerais
- GMGabriela M. M. Paixão
Universidade Federal de Minas Gerais
- DMDerick M. Oliveira
Universidade Federal de Minas Gerais
- PRPaulo R. Gomes
Universidade Federal de Minas Gerais
Topics & keywords
- Computer science
- Clinical Practice
- Task (project management)
- Artificial neural network
- Deep learning
- Artificial intelligence
- Lead (geology)
- Deep neural networks