Electrocardiogram (ECG) Classification Based On Dynamic Beats Segmentation-Reference-Cited by-同舟云学术

Electrocardiogram (ECG) Classification Based On Dynamic Beats Segmentation

Published:2016 Issue: Volume: Page:
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Container-title:Proceedings of the 10th International Conference on Informatics and Systems - INFOS '16
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Author:

El-Saadawy Hadeer¹,Tantawi Manal¹,Shedeed Howida A.¹,Tolba Mohamed F.¹

Affiliation:

1. Faculty of Computer and Information Science, Ain Shams University, Cairo, Egypt

Publisher

ACM Press

Reference23 articles.

1. M. Tantawi, K. Revett, A. Salem, M.F. Tolba, Electrocardiogram (ECG): A New Burgeoning Utility for Biometric Recognition, in Bio-inspiring Cyber Security and Cloud Services: Trends and Innovations Intelligent Systems Reference Library Volume 70, 2014, pp 349--382.

2. G.D. Clifford, F. Azuaje, and P. McSharry, Advanced methods and tools for ECG data analysis: Artech house London, 2006.

3. H. Yazdanian, A. Nomani and M.R. Yazdchi, Machine learning on-a-chip: A high-performance low-power reusable neuron architecture for artificial neural networks in ECG classifications: Conference on Biomedical Engineering, 2013.

4. K. Robert and E.C. Colleen, Basis and Treatment of Cardiac Arrhythmias, 1st ed. New York: Springer-Verlag, 2006.

5. Can Ye, B.V.K. Vijaya Kumar and M.T. Coimbra, Heartbeat Classification Using Morphological and Dynamic Features of ECG Signals: IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING, 2012.

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