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Year: 2018


Type: Article



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


Author: Simjanoska, Monika
Author: Gjoreski, Martin
Author: Gams, Matjaž
Author: Madevska Bogdanova, Ana



Abstract: 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.


Publisher: MDPI AG


Relation: Sensors (Basel, Switzerland)



Identifier: oai:repository.ukim.mk:20.500.12188/8900
Identifier: http://hdl.handle.net/20.500.12188/8900
Identifier: 10.3390/s18041160
Identifier: http://www.mdpi.com/1424-8220/18/4/1160/pdf
Identifier: 18
Identifier: 4



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Non-Invasive Blood Pressure Estimation from ECG Using Machine Learning Techniques201823