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Advances in Non-Invasive Blood Pressure Monitoring
dc.contributor.author | Quan, Xina | |
dc.contributor.author | Liu, Junjun | |
dc.contributor.author | Roxlo, Thomas | |
dc.contributor.author | Siddharth, Siddharth | |
dc.contributor.author | Leong, Weyland | |
dc.contributor.author | Muir, Arthur | |
dc.contributor.author | Cheong, So-Min | |
dc.contributor.author | Rao, Anoop | |
dc.date.accessioned | 2021-12-08T21:40:51Z | |
dc.date.available | 2021-12-08T21:40:51Z | |
dc.date.issued | 2021-06-22 | |
dc.identifier.citation | Quan, X.; Liu, J.; Roxlo, T.; Siddharth, S.; Leong, W.; Muir, A.; Cheong, S.-M.; Rao, A. Advances in Non-Invasive Blood Pressure Monitoring. Sensors 2021, 21, 4273. https://doi.org/10.3390/s21134273 | en_US |
dc.identifier.uri | http://hdl.handle.net/1808/32273 | |
dc.description.abstract | This paper reviews recent advances in non-invasive blood pressure monitoring and highlights the added value of a novel algorithm-based blood pressure sensor which uses machine-learning techniques to extract blood pressure values from the shape of the pulse waveform. We report results from preliminary studies on a range of patient populations and discuss the accuracy and limitations of this capacitive-based technology and its potential application in hospitals and communities. | en_US |
dc.publisher | MDPI | en_US |
dc.rights | © 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license. | en_US |
dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | en_US |
dc.subject | cNIBP | en_US |
dc.subject | Neonate | en_US |
dc.subject | NICU | en_US |
dc.subject | Hypertension | en_US |
dc.subject | Hypotension | en_US |
dc.subject | Non-invasive blood pressure monitoring | en_US |
dc.title | Advances in Non-Invasive Blood Pressure Monitoring | en_US |
dc.type | Article | en_US |
kusw.kuauthor | Cheong, So-Min | |
kusw.kudepartment | Geography & Atmospheric Science | en_US |
dc.identifier.doi | 10.3390/s21134273 | en_US |
kusw.oaversion | Scholarly/refereed, publisher version | en_US |
kusw.oapolicy | This item meets KU Open Access policy criteria. | en_US |
dc.identifier.pmid | PMC8271585 | en_US |
dc.rights.accessrights | openAccess | en_US |