Please use this identifier to cite or link to this item:
http://hdl.handle.net/20.500.12188/8900| Title: | Non-Invasive Blood Pressure Estimation from ECG Using Machine Learning Techniques | Authors: | Simjanoska, Monika Gjoreski, Martin Gams, Matjaž Madevska Bogdanova, Ana |
Issue Date: | 11-Apr-2018 | Publisher: | MDPI AG | Journal: | Sensors (Basel, Switzerland) | 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. | URI: | http://hdl.handle.net/20.500.12188/8900 | DOI: | 10.3390/s18041160 |
| Appears in Collections: | Faculty of Computer Science and Engineering: Journal Articles |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| sensors-18-01160 (1).pdf | 1.11 MB | Adobe PDF | View/Open |
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