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Automated detection and localization of myocardial infarction using electrocardiogram: a comparative study of different leads.

, , , , , , , , , , , and . Knowl. Based Syst., (2016)

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Automated detection of coronary artery disease using different durations of ECG segments with convolutional neural network., , , , , and . Knowl. Based Syst., (2017)Application of stacked convolutional and long short-term memory network for accurate identification of CAD ECG signals., , , , , , , , and . Comput. Biol. Medicine, (2018)Automated detection and localization of myocardial infarction using electrocardiogram: a comparative study of different leads., , , , , , , , , and 2 other author(s). Knowl. Based Syst., (2016)Application of empirical mode decomposition (EMD) for automated identification of congestive heart failure using heart rate signals., , , , , , , , , and . Neural Comput. Appl., 28 (10): 3073-3094 (2017)Automated detection of arrhythmias using different intervals of tachycardia ECG segments with convolutional neural network., , , , , and . Inf. Sci., (2017)A deep convolutional neural network model to classify heartbeats., , , , , , and . Comput. Biol. Medicine, (2017)Automated identification of shockable and non-shockable life-threatening ventricular arrhythmias using convolutional neural network., , , , , , , and . Future Gener. Comput. Syst., (2018)Characterization of Cardiovascular Diseases Using Wavelet Packet Decomposition and Nonlinear Measures of Electrocardiogram Signal., , , , , , , , and . IEA/AIE (1), volume 10350 of Lecture Notes in Computer Science, page 259-266. Springer, (2017)Application of higher-order spectra for the characterization of Coronary artery disease using electrocardiogram signals., , , , , , , , , and 2 other author(s). Biomed. Signal Process. Control., (2017)Automated characterization and classification of coronary artery disease and myocardial infarction by decomposition of ECG signals: A comparative study., , , , , , , , , and 1 other author(s). Inf. Sci., (2017)