The application of deep learning in electrocardiogram: Where we came from and where we should go?
Sign Up to like & getrecommendations! Published in 2021 at "International journal of cardiology"
DOI: 10.1016/j.ijcard.2021.05.017
Abstract: Electrocardiogram (ECG) is a commonly-used, non-invasive examination recording cardiac voltage versus time traces over a period. Deep learning technology, a robust artificial intelligence algorithm, can imitate the data processing patterns of the human brain, and… read more here.
Keywords: learning electrocardiogram; electrocardiogram came; deep learning; application deep ... See more keywords
Machine learning in the electrocardiogram.
Sign Up to like & getrecommendations! Published in 2019 at "Journal of electrocardiology"
DOI: 10.1016/j.jelectrocard.2019.08.008
Abstract: The electrocardiogram is the most widely used diagnostic tool that records the electrical activity of the heart and, therefore, its use for identifying markers for early diagnosis and detection is of paramount importance. In the… read more here.
Keywords: learning electrocardiogram; machine learning; machine;
Abstract 311: Machine Learning of the Electrocardiogram to Detect Regional Structural Abnormalities of the Heart
Sign Up to like & getrecommendations! Published in 2020 at "Circulation"
DOI: 10.1161/circ.142.suppl_3.311
Abstract: Introduction: Regional dysfunction of cardiac myocardium can result from diverse underlying conditions and cause adverse events even in patients without clinically apparent cardiovascular disease o... read more here.
Keywords: abstract 311; electrocardiogram detect; 311 machine; learning electrocardiogram ... See more keywords