scholarly journals A Benchmark Study of Machine Learning for Analysis of Signal Feature Extraction Techniques for Blood Pressure Estimation Using Photoplethysmography (PPG)

IEEE Access ◽  
2021 ◽  
pp. 1-1
Author(s):  
Sumbal Maqsood ◽  
Shuxiang Xu ◽  
Matthew Springer ◽  
Rami Mohawesh
Keyword(s):  
Machine Learning ◽  
Blood Pressure ◽  
Feature Extraction ◽  
Extraction Techniques ◽  
Benchmark Study ◽  
Pressure Estimation ◽  
Blood Pressure Estimation

scholarly journals Enhancement of blood pressure estimation method via machine learning

2021 ◽  
Vol 60 (6) ◽  
pp. 5779-5796
Author(s):  
Nashat Maher ◽  
G.A. Elsheikh ◽  
W.R. Anis ◽  
Tamer Emara
Keyword(s):  
Machine Learning ◽  
Blood Pressure ◽  
Estimation Method ◽  
Pressure Estimation ◽  
Blood Pressure Estimation

scholarly journals Non-Invasive Blood Pressure Estimation from ECG Using Machine Learning Techniques

Sensors ◽  
2018 ◽  
Vol 18 (4) ◽  
pp. 1160 ◽  
Author(s):  
Monika Simjanoska ◽  
Martin Gjoreski ◽  
Matjaž Gams ◽  
Ana Madevska Bogdanova
Keyword(s):  
Machine Learning ◽  
Blood Pressure ◽  
Machine Learning Techniques ◽  
Invasive Blood Pressure ◽  
Non Invasive ◽  
Learning Techniques ◽  
Pressure Estimation ◽  
Blood Pressure Estimation

A novel blood pressure estimation method based on the classification of oscillometric waveforms using machine-learning methods

2020 ◽  
Vol 164 ◽  
pp. 107279 ◽  
Author(s):  
Ahmed S. Alghamdi ◽  
Kemal Polat ◽  
Abdullah Alghoson ◽  
Abdulrahman A. Alshdadi ◽  
Ahmed A. Abd El-Latif
Keyword(s):  
Machine Learning ◽  
Blood Pressure ◽  
Estimation Method ◽  
Learning Methods ◽  
Machine Learning Methods ◽  
Pressure Estimation ◽  
Blood Pressure Estimation
Sign in / Sign up

Export Citation Format

Share Document