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Mitra, \u201cEmpirical mode decomposition based ECG enhancement and QRS detection,\u201d Computers in biology and medicine, vol.42, no.1, pp.83-92, 2012. 10.1016\/j.compbiomed.2011.10.012","DOI":"10.1016\/j.compbiomed.2011.10.012"},{"key":"4","doi-asserted-by":"publisher","unstructured":"[4] A.G. Ramakrishnan, A.P. Prathosh, and T.V. Ananthapadmanabha, \u201cThreshold-independent QRS detection using the dynamic plosion index,\u201d IEEE Signal Process. Lett., vol.21, no.5, pp.554-558, 2014. 10.1109\/lsp.2014.2308591","DOI":"10.1109\/LSP.2014.2308591"},{"key":"5","doi-asserted-by":"publisher","unstructured":"[5] P. Laguna, N.V. Thakor, P. Caminal, R. Jan\u00e9, H.R. Yoon, A. Bay\u00e9s de Luna, V. Marti, and J. Guindo, \u201cNew algorithm for QT interval analysis in 24-hour holter ECG: performance and applications,\u201d Medical and Biological Engineering and Computing, vol.28, no.1, pp.67-73, 1990. 10.1007\/bf02441680","DOI":"10.1007\/BF02441680"},{"key":"6","doi-asserted-by":"publisher","unstructured":"[6] P. Laguna, R. Jan\u00e9, and P. Caminal, \u201cAutomatic detection of wave boundaries in multilead ECG signals: validation with the cse database,\u201d Computers and biomedical research, vol.27, no.1, pp.45-60, 1994. 10.1006\/cbmr.1994.1006","DOI":"10.1006\/cbmr.1994.1006"},{"key":"7","doi-asserted-by":"publisher","unstructured":"[7] R.V. Andre\u00e3o, B. Dorizzi, and J. Boudy, \u201cECG signal analysis through hidden markov models,\u201d IEEE Trans. Biomed. Eng., vol.53, no.8, pp.1541-1549, 2006. 10.1109\/tbme.2006.877103","DOI":"10.1109\/TBME.2006.877103"},{"key":"8","doi-asserted-by":"crossref","unstructured":"[8] F.G. Guilak and J. McNames, \u201cA spline framework for ECG analysis,\u201d 2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, pp.957-960, IEEE, 2011. 10.1109\/iembs.2011.6090216","DOI":"10.1109\/IEMBS.2011.6090216"},{"key":"9","doi-asserted-by":"publisher","unstructured":"[9] F.G. Guilak and J. McNames, \u201cA bayesian-optimized spline representation of the electrocardiogram,\u201d Physiological measurement, vol.34, no.11, p.1467, 2013. 10.1088\/0967-3334\/34\/11\/1467","DOI":"10.1088\/0967-3334\/34\/11\/1467"},{"key":"10","doi-asserted-by":"publisher","unstructured":"[10] C. Li, C. Zheng, and C. Tai, \u201cDetection of ECG characteristic points using wavelet transforms,\u201d IEEE Trans. Biomed. Eng., vol.42, no.1, pp.21-28, 1995. 10.1109\/10.362922","DOI":"10.1109\/10.362922"},{"key":"11","doi-asserted-by":"publisher","unstructured":"[11] J.P. Martinez, R. Almeida, S. Olmos, A.P. Rocha, and P. 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Eng., vol.57, no.12, pp.2840-2849, 2010. 10.1109\/tbme.2010.2076809","DOI":"10.1109\/TBME.2010.2076809"},{"key":"16","doi-asserted-by":"publisher","unstructured":"[16] C. Lin, G. Kail, A. Giremus, C. Mailhes, J.Y. Tourneret, and F. Hlawatsch, \u201cSequential beat-to-beat P and T wave delineation and waveform estimation in ECG signals: Block gibbs sampler and marginalized particle filter,\u201d Signal Process., vol.104, pp.174-187, 2014. 10.1016\/j.sigpro.2014.03.011","DOI":"10.1016\/j.sigpro.2014.03.011"},{"key":"17","doi-asserted-by":"crossref","unstructured":"[17] I. Saini, D. Singh, and A. Khosla, \u201cDelineation of ECG wave components using k-nearest neighbor (KNN) algorithm: ECG wave delineation using KNN,\u201d 2013 Tenth International Conference on Information Technology: New Generations (ITNG), pp.712-717, IEEE, 2013. 10.1109\/itng.2013.76","DOI":"10.1109\/ITNG.2013.76"},{"key":"18","doi-asserted-by":"publisher","unstructured":"[18] I. Saini, D. Singh, and A. Khosla, \u201cK-nearest neighbour-based algorithm for P- and T-waves detection and delineation,\u201d J. Medical Engineering &amp; Technology, vol.38, no.3, pp.115-124, 2014. 10.3109\/03091902.2014.882424","DOI":"10.3109\/03091902.2014.882424"},{"key":"19","doi-asserted-by":"crossref","unstructured":"[19] P. Gao, J. Zhao, G. Wang, and H. Guo, \u201cReal time ECG characteristic point detection with random selected signal pair difference (rsspd) feature and random forest classifier,\u201d 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Orlando, EMBC, Aug. 2016. 10.1109\/embc.2016.7590806","DOI":"10.1109\/EMBC.2016.7590806"},{"key":"20","doi-asserted-by":"crossref","unstructured":"[20] P. Laguna, R.G. Mark, A. Goldberg, and G.B. 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