Browse > Medical > Electrocardiography (ECG) > Myocardial infarction detection

Myocardial infarction detection

3 papers with code · Medical

Leaderboards

Greatest papers with code

Deep Learning for Cardiologist-level Myocardial Infarction Detection in Electrocardiograms

arXiv 2019 arjung128/mi_detection

Based on these findings, we modify ConvNetQuake to simultaneously take in raw ECG data from leads v6 and vz, achieving 99. 43% classification accuracy, which represents cardiologist-level performance level for myocardial infarction detection after feeding only 10 seconds of raw ECG data to our neural network model.

MYOCARDIAL INFARCTION DETECTION

Deep Learning for Cardiologist-level Myocardial Infarction Detection in Electrocardiograms

arXiv 2019 arjung128/mi_detection

Based on these findings, we modify ConvNetQuake to simultaneously take in raw ECG data from leads v6 and vz, achieving $99. 43\%$ classification accuracy, which represents cardiologist-level performance level for myocardial infarction detection after feeding only 10 seconds of raw ECG data to our neural network model.

MYOCARDIAL INFARCTION DETECTION