A Novel Non-Invasive Estimation of Respiration Rate From Motion Corrupted Photoplethysmograph Signal Using Machine Learning Model

Md Nazmul Islam Shuzan, Moajjem Hossain Chowdhury, Md. Shafayet Hossain, Muhammad Enamul Hoque Chowdhury, Mamun Bin Ibne Reaz, Mohammad Monir Uddin, Amith Khandakar, Zaid Bin Mahbub, Sawal Hamid Md. Ali. A Novel Non-Invasive Estimation of Respiration Rate From Motion Corrupted Photoplethysmograph Signal Using Machine Learning Model. IEEE Access, 9:96775-96790, 2021. [doi]

@article{ShuzanCHCRUKMA21,
  title = {A Novel Non-Invasive Estimation of Respiration Rate From Motion Corrupted Photoplethysmograph Signal Using Machine Learning Model},
  author = {Md Nazmul Islam Shuzan and Moajjem Hossain Chowdhury and Md. Shafayet Hossain and Muhammad Enamul Hoque Chowdhury and Mamun Bin Ibne Reaz and Mohammad Monir Uddin and Amith Khandakar and Zaid Bin Mahbub and Sawal Hamid Md. Ali},
  year = {2021},
  doi = {10.1109/ACCESS.2021.3095380},
  url = {https://doi.org/10.1109/ACCESS.2021.3095380},
  researchr = {https://researchr.org/publication/ShuzanCHCRUKMA21},
  cites = {0},
  citedby = {0},
  journal = {IEEE Access},
  volume = {9},
  pages = {96775-96790},
}