1. H Yang Z Wei 2020 Arrhythmia recognition and classification using combined parametric and visual pattern features of ECG morphology IEEE Access 8 47103 47117 https://doi.org/10.1109/ACCESS.2020.2979256
2. Lin, C.-C., Yang, C.-M.: Heartbeat classification using normalized RR intervals and morphological features. Math. Problems Eng. 2014, May 2014, Art. no. 712474 (2014)
3. Gotchev, A., Nikolaev, N., Egiazarian, K.: Improving the transform domain ECG denoising performance by applying inter-beat and intra-beat decorrelating transforms. In: Proceedings of IEEE International Symposium on Circuits and Systems (ISCAS), Sydney, NSW, Australia, May 2001, pp. 17–20 (2001)
4. M Thomas MK Das S Ari 2015 Automatic ECG arrhythmia classification using dual tree complex wavelet-based features AEU-Int. J. Electron. Commun. 69 4 715 721
5. M Rakshit S Das 2018 An efficient ECG denoising methodology using empirical mode decomposition and adaptive switching mean filter Biomed. Signal Process. Control 40 140 148