Prediction of paroxysmal Atrial Fibrillation: A machine learning based approach using combined feature vector and mixture of expert classification on HRV signal

Elias Ebrahimzadeh, Maede Kalantari, Mohammadamin Joulani, Reza Shahrokhi Shahraki, Farahnaz Fayaz, Fereshteh Ahmadi. Prediction of paroxysmal Atrial Fibrillation: A machine learning based approach using combined feature vector and mixture of expert classification on HRV signal. Computer Methods and Programs in Biomedicine, 165:53-67, 2018. [doi]

@article{EbrahimzadehKJS18,
  title = {Prediction of paroxysmal Atrial Fibrillation: A machine learning based approach using combined feature vector and mixture of expert classification on HRV signal},
  author = {Elias Ebrahimzadeh and Maede Kalantari and Mohammadamin Joulani and Reza Shahrokhi Shahraki and Farahnaz Fayaz and Fereshteh Ahmadi},
  year = {2018},
  doi = {10.1016/j.cmpb.2018.07.014},
  url = {https://doi.org/10.1016/j.cmpb.2018.07.014},
  researchr = {https://researchr.org/publication/EbrahimzadehKJS18},
  cites = {0},
  citedby = {0},
  journal = {Computer Methods and Programs in Biomedicine},
  volume = {165},
  pages = {53-67},
}