ECG Signals Denoising and Features Extraction by Applying UFIR Smoothing with Optimal $q$-Lag in the State Space

Carlos Lastre-Dominguez, Yuriy S. Shmaliy, Oscar Ibarra-Manzano, Sandra Márquez-Figueroa, Karen Uribe-Murcia. ECG Signals Denoising and Features Extraction by Applying UFIR Smoothing with Optimal $q$-Lag in the State Space. In 16th International Conference on Electrical Engineering, Computing Science and Automatic Control, CCE 2019, Mexico City, Mexico, September 11-13, 2019. pages 1-6, IEEE, 2019. [doi]

@inproceedings{Lastre-Dominguez19-0,
  title = {ECG Signals Denoising and Features Extraction by Applying UFIR Smoothing with Optimal $q$-Lag in the State Space},
  author = {Carlos Lastre-Dominguez and Yuriy S. Shmaliy and Oscar Ibarra-Manzano and Sandra Márquez-Figueroa and Karen Uribe-Murcia},
  year = {2019},
  doi = {10.1109/ICEEE.2019.8884556},
  url = {https://doi.org/10.1109/ICEEE.2019.8884556},
  researchr = {https://researchr.org/publication/Lastre-Dominguez19-0},
  cites = {0},
  citedby = {0},
  pages = {1-6},
  booktitle = {16th International Conference on Electrical Engineering, Computing Science and Automatic Control, CCE 2019, Mexico City, Mexico, September 11-13, 2019},
  publisher = {IEEE},
  isbn = {978-1-7281-4840-3},
}