An Intelligent Classifier for Heart Health- Based on Radial Myocardial Strain and Electrocardiogram

摘要

Heart health is important for anyone everywhere. The electrocardiograms (ECG) and echocardiograms are common-used and critical clinical assessment of the heart. A classifier based on ECG and echocardiograms for identifying heart health and offering objective suggestion was proposed. Clinical data and cardiologists' diagnosis were used to evaluate the classifier. The accuracy rate to identify heart condition between healthy and ill was about 90% and over. Among the heart disease trials, which of them indicates to cardiac resyn-chronization therapy (CRT) can be distinguished with an accuracy rate of 75%. This work may facilitate clinical data reading and serve as a heart health consulter when needed. More factors will be investigated in future studies to keep upgrading the classifier.