Muhammad Adam
Affiliations:- Ngee Ann Polytechnic, Singapore
According to our database1,
Muhammad Adam
authored at least 16 papers
between 2016 and 2019.
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Bibliography
2019
Deep convolutional neural network for the automated diagnosis of congestive heart failure using ECG signals.
Appl. Intell., 2019
2018
Automated identification of shockable and non-shockable life-threatening ventricular arrhythmias using convolutional neural network.
Future Gener. Comput. Syst., 2018
Automated characterization of cardiovascular diseases using relative wavelet nonlinear features extracted from ECG signals.
Comput. Methods Programs Biomed., 2018
Application of stacked convolutional and long short-term memory network for accurate identification of CAD ECG signals.
Comput. Biol. Medicine, 2018
2017
Automated characterization of coronary artery disease, myocardial infarction, and congestive heart failure using contourlet and shearlet transforms of electrocardiogram signal.
Knowl. Based Syst., 2017
Automated detection of coronary artery disease using different durations of ECG segments with convolutional neural network.
Knowl. Based Syst., 2017
Application of deep convolutional neural network for automated detection of myocardial infarction using ECG signals.
Inf. Sci., 2017
Automated detection of arrhythmias using different intervals of tachycardia ECG segments with convolutional neural network.
Inf. Sci., 2017
Automated characterization and classification of coronary artery disease and myocardial infarction by decomposition of ECG signals: A comparative study.
Inf. Sci., 2017
Automated diagnosis of congestive heart failure using dual tree complex wavelet transform and statistical features extracted from 2 s of ECG signals.
Comput. Biol. Medicine, 2017
Comput. Biol. Medicine, 2017
Comput. Biol. Medicine, 2017
Application of higher-order spectra for the characterization of Coronary artery disease using electrocardiogram signals.
Biomed. Signal Process. Control., 2017
Characterization of Cardiovascular Diseases Using Wavelet Packet Decomposition and Nonlinear Measures of Electrocardiogram Signal.
Proceedings of the Advances in Artificial Intelligence: From Theory to Practice, 2017
2016
Automated detection and localization of myocardial infarction using electrocardiogram: a comparative study of different leads.
Knowl. Based Syst., 2016
Automated characterization of arrhythmias using nonlinear features from tachycardia ECG beats.
Proceedings of the 2016 IEEE International Conference on Systems, Man, and Cybernetics, 2016