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Automatic 12-lead ECG diagnosis DNN

Universidade Federal de Minas Gerais (UFMG) · 2020

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Code & model weights public

1D residual neural network that screens 10-second, 12-lead ECG tracings for six common abnormalities: first- and second-degree AV block patterns, right and left bundle branch block, sinus bradycardia, atrial fibrillation, and sinus tachycardia. Reported F1 scores above 80% and specificity over 99% when benchmarked against cardiology residents. Developed at Universidade Federal de Minas Gerais and trained on the large Brazilian CODE-15% ECG dataset.

12-lead ECG

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ECG

General Purpose / Multi-task

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General / Foundation

Multi-label classification

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Classification

CNN (1D)

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Convolutional (CNN)

TensorFlow

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TensorFlow / Keras

CC BY 4.0

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Open — Attribution


Model ID: 0010