Detection of myocardial ischemia by intracoronary ECG using convolutional neural networks.
Marius Reto BiglerChristian SeilerPublished in: PloS one (2021)
When tested in an experimental setting with artificially induced coronary artery occlusion, quantitative icECG ST-segment shift and CNN using pathophysiologic prediction criteria detect myocardial ischemia with similarly high accuracy.
Keyphrases
- convolutional neural network
- coronary artery
- deep learning
- left ventricular
- pulmonary artery
- high glucose
- diabetic rats
- heart rate variability
- heart rate
- loop mediated isothermal amplification
- heart failure
- label free
- blood pressure
- st elevation myocardial infarction
- real time pcr
- oxidative stress
- acute coronary syndrome
- machine learning
- pulmonary hypertension
- coronary artery disease