Muhammad Adam - Concepedia

Author

Muhammad Adam

Ngee Ann Polytechnic

Also Known As

M Adam, M. Awaludin Adam, M.D. Adam, MUHAMMAD ADAM, Muhammad Adam, Muhammad Hamza Adam

Publications

5.8K

Citations

H-Index

Concepts

All Affiliations

Ngee Ann Polytechnic Singapore University of Social Sciences University of Malaya National Heart Centre Singapore Iwate Prefectural University

About

Muhammad Adam is an author at Ngee Ann Polytechnic specializing in cardiology, biomedical signal processing, and engineering.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	12	12	3.9K
2	Medicine	11	11	1.7K
3	Biostatistics	8	8	644
4	Public Health	4	4	452
5	Biomedical Engineering	3	3	101

Muhammad Adam

Publications

5.5K

Citations

H-Index

Page 1

	Year	Citations
A deep convolutional neural network model to classify heartbeats U. Rajendra Acharya, Shu Lih Oh, Yuki Hagiwara, Computers in Biology and Medicine Biosignal ProcessingEngineeringMachine LearningDeep Learning	2017	1.3K
Application of deep convolutional neural network for automated detection of myocardial infarction using ECG signals U. Rajendra Acharya, Hamido Fujita, Shu Lih Oh, Information Sciences Convolutional Neural NetworkEcg SignalsMyocardial InfarctionAutomated DetectionDeep Learning	2017	916
Automated detection of arrhythmias using different intervals of tachycardia ECG segments with convolutional neural network U. Rajendra Acharya, Hamido Fujita, Oh Shu Lih, Information Sciences Electrophysiological EvaluationConvolutional Neural NetworkEngineeringMachine LearningPattern Recognition	2017	712
Reversible integer-to-integer wavelet transforms for image compression: performance evaluation and analysis Muhammad Adam, F. Kossentni IEEE Transactions on Image Processing Lossy CompressionImage AnalysisEngineeringImage CodingImage Compression	2000	370
Automated detection of coronary artery disease using different durations of ECG segments with convolutional neural network U. Rajendra Acharya, Hamido Fujita, Oh Shu Lih, Knowledge-Based Systems Convolutional Neural NetworkImage AnalysisEngineeringCardiovascular DiseaseDeep Learning	2017	365
Application of stacked convolutional and long short-term memory network for accurate identification of CAD ECG signals Jen Hong Tan, Yuki Hagiwara, Winnie Pang, Computers in Biology and Medicine Electrophysiological EvaluationEngineeringMachine LearningBiosignal ProcessingEeg Signal Processing	2018	351
Deep convolutional neural network for the automated diagnosis of congestive heart failure using ECG signals U. Rajendra Acharya, Hamido Fujita, Shu Lih Oh, Applied Intelligence Convolutional Neural NetworkHeart FailureEcg SignalsMachine LearningEngineering	2018	298
Automated identification of shockable and non-shockable life-threatening ventricular arrhythmias using convolutional neural network U. Rajendra Acharya, Hamido Fujita, Shu Lih Oh, Future Generation Computer Systems Electrophysiological EvaluationHeart FailureEngineeringMachine LearningCardiogenic Shock	2017	274
Automated detection and localization of myocardial infarction using electrocardiogram: a comparative study of different leads U. Rajendra Acharya, Hamido Fujita, Vidya K. Sudarshan, Knowledge-Based Systems Electrophysiological EvaluationHeart FailureCardiovascular DiseaseElectrocardiographyCoronary Unit	2016	231
Automated characterization and classification of coronary artery disease and myocardial infarction by decomposition of ECG signals: A comparative study U. Rajendra Acharya, Hamido Fujita, Muhammad Adam, Information Sciences Electrophysiological EvaluationEcg SignalsCardiovascular DiseaseBiosignal ProcessingElectrocardiography	2016	226

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