Identification of Coronary Culprit Lesion in ST Elevation Myocardial Infarction by Using Deep Learning.
Li-Ming TsengCheng-Yen ChuangSu-Kiat ChuaVincent S TsengPublished in: IEEE journal of translational engineering in health and medicine (2022)
Our study demonstrated that deep learning with a CNN could facilitate the identification of the culprit coronary artery in patients with STEMI. Preprocessing ECG signals with CWT was demonstrated to be superior to doing so with STFT.
Keyphrases
- st elevation myocardial infarction
- deep learning
- coronary artery
- percutaneous coronary intervention
- convolutional neural network
- coronary artery disease
- pulmonary artery
- artificial intelligence
- st segment elevation myocardial infarction
- bioinformatics analysis
- machine learning
- acute coronary syndrome
- heart failure
- atrial fibrillation
- aortic stenosis
- transcatheter aortic valve replacement
- aortic valve
- ejection fraction
- left ventricular