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

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

Background: Blood pressure (BP) measurements have been used widely in clinical and private environments. Recently, the use of ECG monitors has proliferated; however, they are not enabled with BP estimation. We have developed a method for BP estimation using only electrocardiogram (ECG) signals. Meth...

Full description

Bibliographic Details
Main Authors: Monika Simjanoska, Martin Gjoreski, Matjaž Gams, Ana Madevska Bogdanova
Format: Article
Language:English
Published: MDPI AG 2018-04-01
Series:Sensors
Subjects:
blood pressure
ECG
machine learning
complexity analysis
classification
regression
stacking
Online Access:http://www.mdpi.com/1424-8220/18/4/1160

Internet

http://www.mdpi.com/1424-8220/18/4/1160

Similar Items