Machine learning-based cardiac activity non-linear analysis for discriminating COVID-19 patients with different degrees of severity

Pedro Ribeiro, João Alexandre Lôbo Marques, Daniel Pordeus, Laíla Zacarias, Camila Leite, Manoel Alves Neto, Arnaldo Aires Peixoto Júnior, Adriel de Oliveira, João Paulo do Vale Madeiro, Pedro Miguel Rodrigues. Machine learning-based cardiac activity non-linear analysis for discriminating COVID-19 patients with different degrees of severity. Biomed. Signal Proc. and Control, 87(Part A):105558, January 2024. [doi]

@article{RibeiroMPZLNJOMR24,
  title = {Machine learning-based cardiac activity non-linear analysis for discriminating COVID-19 patients with different degrees of severity},
  author = {Pedro Ribeiro and João Alexandre Lôbo Marques and Daniel Pordeus and Laíla Zacarias and Camila Leite and Manoel Alves Neto and Arnaldo Aires Peixoto Júnior and Adriel de Oliveira and João Paulo do Vale Madeiro and Pedro Miguel Rodrigues},
  year = {2024},
  month = {January},
  doi = {10.1016/j.bspc.2023.105558},
  url = {https://doi.org/10.1016/j.bspc.2023.105558},
  researchr = {https://researchr.org/publication/RibeiroMPZLNJOMR24},
  cites = {0},
  citedby = {0},
  journal = {Biomed. Signal Proc. and Control},
  volume = {87},
  number = {Part A},
  pages = {105558},
}