NSU Research Contributions
Title : A Novel Non-Invasive Estimation of Respiration Rate From Motion Corrupted Photoplethysmograph Signal Using Machine Learning Model
Authors : Md Nazmul Islam Shuzan, Moajjem Hossain Chowdhury, Md. Shafayet Hossain, Muhammad E.H. Chowdhury, Mamun Ibne Reaz, M. Monir Uddin, Amith Khandakar, Zaid B. Mahbub, and Sawal Hamid Md. Ali
| Journal Title: IEEE Access | Volume Number: 9 | Publication Year : July 2021 |
| Pages : 96775 - 96790, |
| Keywords: Photoplethysmogram , respiration rate , machine learning , feature selection , motion artifact correction , Gaussian process re |
