Muhammad Adam

According to our database1, Muhammad Adam authored at least 17 papers between 2016 and 2019.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.



In proceedings 
PhD thesis 




Deep convolutional neural network for the automated diagnosis of congestive heart failure using ECG signals.
Appl. Intell., 2019

Automated identification of shockable and non-shockable life-threatening ventricular arrhythmias using convolutional neural network.
Future Generation Comp. Syst., 2018

Automated characterization of cardiovascular diseases using relative wavelet nonlinear features extracted from ECG signals.
Computer Methods and Programs in Biomedicine, 2018

Application of stacked convolutional and long short-term memory network for accurate identification of CAD ECG signals.
Comp. in Bio. and Med., 2018

Application of empirical mode decomposition (EMD) for automated identification of congestive heart failure using heart rate signals.
Neural Computing and Applications, 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.
Comp. in Bio. and Med., 2017

Computer aided diagnosis of diabetic foot using infrared thermography: A review.
Comp. in Bio. and Med., 2017

A deep convolutional neural network model to classify heartbeats.
Comp. in Bio. and Med., 2017

Application of higher-order spectra for the characterization of Coronary artery disease using electrocardiogram signals.
Biomed. Signal Proc. and 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

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