SVM Based ECG Classification Using Rhythm and Morphology Features, Cluster Analysis and Multilevel Noise Estimation

Radovan Smísek, Jakub Hejc, Marina Ronzhina, Andrea Nemcová, Lucie Marsánová, Jirí Chmelík, Jana Kolárová, Ivo Provazník, Lukás Smital, Martin Vítek. SVM Based ECG Classification Using Rhythm and Morphology Features, Cluster Analysis and Multilevel Noise Estimation. In Computing in Cardiology, CinC 2007, Rennes, France, September 24-27, 2017. www.cinc.org, 2017. [doi]

@inproceedings{SmisekHRNMCKPSV17,
  title = {SVM Based ECG Classification Using Rhythm and Morphology Features, Cluster Analysis and Multilevel Noise Estimation},
  author = {Radovan Smísek and Jakub Hejc and Marina Ronzhina and Andrea Nemcová and Lucie Marsánová and Jirí Chmelík and Jana Kolárová and Ivo Provazník and Lukás Smital and Martin Vítek},
  year = {2017},
  url = {http://www.cinc.org/archives/2017/pdf/172-200.pdf},
  researchr = {https://researchr.org/publication/SmisekHRNMCKPSV17},
  cites = {0},
  citedby = {0},
  booktitle = {Computing in Cardiology, CinC 2007, Rennes, France, September 24-27, 2017},
  publisher = {www.cinc.org},
  isbn = {978-1-5386-4555-0},
}