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A Novel Non-Invasive Estimation of Respiration Rate from Photoplethysmograph Signal Using Machine Learning Model

A Novel Non-Invasive Estimation of Respiration Rate from Photoplethysmograph Signal Using Machine Learning Model

Md Nazmul Islam Shuzan
M. H. Chowdhury
M. Chowdhury
Mohammad Monir Uddin
Amith Khandakar
Z. Mahbub
N. Nawaz
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Papers citing "A Novel Non-Invasive Estimation of Respiration Rate from Photoplethysmograph Signal Using Machine Learning Model"

2 / 2 papers shown
Title
Estimating Blood Pressure from Photoplethysmogram Signal and Demographic Features using Machine Learning Techniques
Estimating Blood Pressure from Photoplethysmogram Signal and Demographic Features using Machine Learning Techniques
M. H. Chowdhury
Md Nazmul Islam Shuzan
M. Chowdhury
Z. Mahbub
Mohammad Monir Uddin
Amith Khandakar
M. Reaz
47
182
0
07 May 2020
Unsupervised Feature Selection with Adaptive Structure Learning
Unsupervised Feature Selection with Adaptive Structure Learning
Liang Du
Yi-Dong Shen
51
219
0
03 Apr 2015

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