An Advanced Arrhythmia Recognition Methodology Based on R-waves Time-Series Derivatives and Benchmarking Machine-Learning Algorithms

Youssef Trardi, Bouchra Ananou, Mustapha Ouladsine. An Advanced Arrhythmia Recognition Methodology Based on R-waves Time-Series Derivatives and Benchmarking Machine-Learning Algorithms. In 2020 European Control Conference, ECC 2020, Saint Petersburg, Russia, May 12-15, 2020. pages 1377-1382, IEEE, 2020. [doi]

@inproceedings{TrardiAO20,
  title = {An Advanced Arrhythmia Recognition Methodology Based on R-waves Time-Series Derivatives and Benchmarking Machine-Learning Algorithms},
  author = {Youssef Trardi and Bouchra Ananou and Mustapha Ouladsine},
  year = {2020},
  url = {https://ieeexplore.ieee.org/document/9143678},
  researchr = {https://researchr.org/publication/TrardiAO20},
  cites = {0},
  citedby = {0},
  pages = {1377-1382},
  booktitle = {2020 European Control Conference, ECC 2020, Saint Petersburg, Russia, May 12-15, 2020},
  publisher = {IEEE},
  isbn = {978-3-90714-402-2},
}