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Blood Pressure Estimation using Arterial Diameter: Exploring Different Machine Learning Methods
2020 IEEE International Symposium on Medical Measurements and Applications (MeMeA)
◽
10.1109/memea49120.2020.9137234
◽
2020
◽
Author(s):
Uthappa P. Poojitha
◽
Keerthi Ram
◽
Nabeel PM
◽
Raj Kiran V.
◽
Jayaraj Joseph
◽
...
Keyword(s):
Machine Learning
◽
Blood Pressure
◽
Arterial Diameter
◽
Learning Methods
◽
Machine Learning Methods
◽
Pressure Estimation
◽
Blood Pressure Estimation
Download Full-text
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A novel blood pressure estimation method based on the classification of oscillometric waveforms using machine-learning methods
Applied Acoustics
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10.1016/j.apacoust.2020.107279
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2020
◽
Vol 164
◽
pp. 107279
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◽
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Machine Learning
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Blood Pressure Estimation
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Enhancement of blood pressure estimation method via machine learning
Alexandria Engineering Journal
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10.1016/j.aej.2021.04.035
◽
2021
◽
Vol 60
(6)
◽
pp. 5779-5796
Author(s):
Nashat Maher
◽
G.A. Elsheikh
◽
W.R. Anis
◽
Tamer Emara
Keyword(s):
Machine Learning
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Blood Pressure
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Estimation Method
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Pressure Estimation
◽
Blood Pressure Estimation
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A review of machine learning in hypertension detection and blood pressure estimation based on clinical and physiological data
Biomedical Signal Processing and Control
◽
10.1016/j.bspc.2021.102813
◽
2021
◽
Vol 68
◽
pp. 102813
Author(s):
Erick Martinez-Ríos
◽
Luis Montesinos
◽
Mariel Alfaro-Ponce
◽
Leandro Pecchia
Keyword(s):
Machine Learning
◽
Blood Pressure
◽
Physiological Data
◽
Hypertension Detection
◽
Pressure Estimation
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Blood Pressure Estimation
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Investigation on the effect of Womersley number, ECG and PPG features for cuff less blood pressure estimation using machine learning
Biomedical Signal Processing and Control
◽
10.1016/j.bspc.2020.101942
◽
2020
◽
Vol 60
◽
pp. 101942
◽
Cited By ~ 1
Author(s):
Geerthy Thambiraj
◽
Uma Gandhi
◽
Umapathy Mangalanathan
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V. Jeya Maria Jose
◽
M. Anand
Keyword(s):
Machine Learning
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Blood Pressure
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Womersley Number
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Pressure Estimation
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Blood Pressure Estimation
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Entropy-Facilitated Machine Learning for Blood Pressure Estimation Using Electrocardiogram and Photoplethysmogram in a Wearable Device
10.1109/cisp-bmei53629.2021.9624370
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2021
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Author(s):
Kevin Sheng-Kai Ma
◽
Hong Hao
◽
Hung-Chun Huang
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Yun-Hsiang Tang
Keyword(s):
Machine Learning
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Blood Pressure
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Wearable Device
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Pressure Estimation
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Blood Pressure Estimation
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A Benchmark Study of Machine Learning for Analysis of Signal Feature Extraction Techniques for Blood Pressure Estimation Using Photoplethysmography (PPG)
IEEE Access
◽
10.1109/access.2021.3117969
◽
2021
◽
pp. 1-1
Author(s):
Sumbal Maqsood
◽
Shuxiang Xu
◽
Matthew Springer
◽
Rami Mohawesh
Keyword(s):
Machine Learning
◽
Blood Pressure
◽
Feature Extraction
◽
Extraction Techniques
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Benchmark Study
◽
Pressure Estimation
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Blood Pressure Estimation
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Non-contact Blood Pressure Estimation Using a 300 GHz Continuous Wave Radar and Machine Learning Models
2021 IEEE International Symposium on Medical Measurements and Applications (MeMeA)
◽
10.1109/memea52024.2021.9478734
◽
2021
◽
Author(s):
Marie Jung
◽
Michael Caris
◽
Stephan Stanko
Keyword(s):
Machine Learning
◽
Blood Pressure
◽
Continuous Wave
◽
Learning Models
◽
Wave Radar
◽
Pressure Estimation
◽
Blood Pressure Estimation
◽
Machine Learning Models
Download Full-text
Non-Invasive Blood Pressure Estimation from ECG Using Machine Learning Techniques
Sensors
◽
10.3390/s18041160
◽
2018
◽
Vol 18
(4)
◽
pp. 1160
◽
Cited By ~ 34
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
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Blood Pressure Estimation
Download Full-text
DXA measured body composition predicts blood pressure using machine learning methods
Journal of Clinical Hypertension
◽
10.1111/jch.13914
◽
2020
◽
Vol 22
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◽
pp. 1098-1100
Author(s):
Tanmay Nath
◽
Rexford S. Ahima
◽
Prasanna Santhanam
Keyword(s):
Machine Learning
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Blood Pressure
◽
Body Composition
◽
Learning Methods
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Machine Learning Methods
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Blood pressure estimation from photoplethysmogram and electrocardiogram signals using machine learning
IET Doctoral Forum on Biomedical Engineering, Healthcare, Robotics and Artificial Intelligence 2018 (BRAIN 2018)
◽
10.1049/cp.2018.1721
◽
2018
◽
Author(s):
Sen Yang
◽
W.S.W. Zaki
◽
S.P. Morgan
◽
Siu-Yeung Cho
◽
R. Correia
◽
...
Keyword(s):
Machine Learning
◽
Blood Pressure
◽
Electrocardiogram Signals
◽
Pressure Estimation
◽
Blood Pressure Estimation
Download Full-text
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