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2021_IEEE_SensorsJournal_Blood_Pressure.pdf (1.2 MB)

Blood Pressure Models for Wearable Sensors

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posted on 20.08.2021, 13:18 by Ana Carolina Gonçalves Seabra, Alexandre Ferreira da Silva, Thomas Stieglitz, Ana Belen Amado ReyAna Belen Amado Rey
As cardiovascular diseases are one of the most prominent illnesses, a continuous, non-invasive, and comfortable monitoring of blood pressure (BP) is indispensable. This paper investigates the best method for obtaining highly accurate BP values in non-invasive measurements when using an ultrasound (US) sensor projected for a wrist-worn device. State-of-the-art BP models were analyzed and qualitatively compared. Relevant arterial parameters such as luminal area, flow velocity and pulse wave velocity, of 729 subjects were extracted from a computer simulated database and served as input parameters for the wearable US. A linear in-silico model calibrated to each arterial-site revealed to be most accurate model. The linear model was used for the extraction of BP by using the US sensor and validated with a commercial pressure sensor in an ex-vivo experimental setup. The results showed an in-silico pulse pressure correlation of 0.978 and mean difference of (-2.134±2.477) mmHg at the radial artery and ex-vivo pressure correlation of 0.994 and mean difference of (0.554 ± 2.315) mmHg. Thus, with the linear model, the US measurement complies with the Association for the Advancement of Medical Instrumentation standard with deviations lower than 5 mmHg.

Funding

B. Braun Stiftung (Project NINUSSense, Manuscript BBST-D-19-00008)

History

Email Address of Submitting Author

belen.amado@imtek.uni-freiburg.de

ORCID of Submitting Author

0000-0002-2845-7104

Submitting Author's Institution

Albert-Ludwigs-University Freiburg

Submitting Author's Country

Germany