A dynamic learning-based ECG feature extraction method for myocardial infarction detection.

Qinghua SunZhanfei XuChunmiao LiangFukai ZhangJiali LiRugang LiuTianrui ChenBing JiYuguo ChenCong Wang

Published in: Physiological measurement (2022)

The experimental results demonstrate that our method performs distinctive dynamic feature extraction and may be used as an effective auxiliary tool to diagnose MI patients.

Keyphrases

end stage renal disease
machine learning
ejection fraction
newly diagnosed
chronic kidney disease
deep learning
heart failure
prognostic factors
peritoneal dialysis
heart rate variability
left ventricular
blood pressure