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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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Accurate detection of myocardial infarction using non linear features with ECG signals., , , , , , , , and . J. Ambient Intell. Humaniz. Comput., 12 (3): 3227-3244 (2021)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)Automated characterization of cardiovascular diseases using relative wavelet nonlinear features extracted from ECG signals., , , , , , , and . Comput. Methods Programs Biomed., (2018)A computational intelligence tool for the detection of hypertension using empirical mode decomposition., , , , , and . Comput. Biol. Medicine, (2020)Automated characterization of arrhythmias using nonlinear features from tachycardia ECG beats., , , , , , and . SMC, page 533-538. IEEE, (2016)Characterization of focal EEG signals: A review., , , , , , , , and . Future Gener. Comput. Syst., (2019)Automated detection of glaucoma using elongated quinary patterns technique with optical coherence tomography angiogram images., , , , , , , and . Biomed. Signal Process. Control., (2021)Automated beat-wise arrhythmia diagnosis using modified U-net on extended electrocardiographic recordings with heterogeneous arrhythmia types., , , and . Comput. Biol. Medicine, (2019)Automated diagnostic tool for hypertension using convolutional neural network., , , , , and . Comput. Biol. Medicine, (2020)