1. ECG compression retaining the best natural basis k-coefficients via sparse decomposition;Adamo;Biomed. Signal Process. Control,2015
2. K-SVD: an algorithm for designing overcomplete dictionaries for sparse representation;Aharon;IEEE Trans. Signal Process.,2006
3. G. Anthony, H. Gregg, M. Tshilidzi, Image classification using SVMs: one-against-one vs one-against-all, arXiv preprint arXiv: 0711.2914, 2007.
4. The effect of feature extraction based on dictionary learning on ECG signal classification;Ceylan;Int. J. Intellig. Syst. Appl. Eng.,2018
5. comparison of type-2 fuzzy clustering-based cascade classifier models for ECG arrhythmias;Ceylan;Biomed. Eng.: Appl. Basis Commun.,2014