Author:
Usha Kumari Ch.,Sampath Dakshina Murthy A.,Lakshmi Prasanna B.,Pala Prasad Reddy M.,Kumar Panigrahy Asisa
Funder
Department of Science and Technology, Ministry of Science and Technology, India
Reference20 articles.
1. Butt, M. M., Akram, M. U., & Khan, S. A. (2015, September). Classifying normal sinus rhythm and cardiac arrhythmias in ECG signals using statistical features in temporal domain. In2015 9th Asia Modelling Symposium (AMS)(pp. 28-31). IEEE.
2. Sun, W., Zeng, N., & He, Y. (2019). Morphological Arrhythmia Automated Diagnosis Method Using Gray-Level Co-occurrence Matrix Enhanced Convolutional Neural Network.IEEE Access.
3. Detection of life-threatening arrhythmias using feature selection and support vector machines;Alonso-Atienza;IEEE Trans. Biomed. Eng.,2013
4. Elghazzawi, Z., & Geheb, F. (1996, September). A knowledge-based system for arrhythmia detection. In Computers in Cardiology 1996 (pp. 541-544). IEEE.
5. Strauss, D., Steidl, G., & Jung, J. (2001, September). Arrhythmia detection using signal-adapted wavelet preprocessing for support vector machines. In Computers in Cardiology 2001. Vol. 28 (Cat. No. 01CH37287) (pp. 497-500). IEEE.
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