Optimizing a new cuffless blood pressure sensor via a solid–fluid-electric finite element model with consideration of varied mis-positionings

Yung Hua Kao, Tse Yi Tu, Chang-Po Chao*, Yung Pin Lee, Chin Long Wey

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

13 Scopus citations

Abstract

The sizes of a newly-developed non-invasive, cuffless blood pressure sensor are successfully optimized for maximizing its output signal quality. The optimization is conducted via establishing a coupled solid–fluid-electric model and considering varied mis-positionings. The non-invasive, cuffless blood pressure sensor consists of a gel-capsule and a strain sensor in a number of parallel electrodes. Towards sensing blood pressure, the BP sensor is designed to sense the vibration of radial artery by converting the deformation of the sensor electrodes to electrical signals. In practical uses, it is inevitable that the sensor is not placed right on the location where maximum vibration of the artery occurs, thus undermining the signal quality of the sensor output signals for accurate BP estimates. This study is dedicated to optimize the sizes of sensor electrodes with a required level of robustness to be able to obtain quality signals with presence of reasonable mis-positionings. The optimization is made possible by first establishing a coupled fluid-mechanics-electric model to predict sensor output due to dynamic artery dilations, and then the sizes of sensor electrodes are successfully optimized for maximum sensor outputs with consideration of reasonable mis-positionings. The range of sensor mis-positions considered is between −5 and +5 mm to cover all possible users in different heights, weights, ages, genders, etc. The optimal electrode length of the sensor is found to be 7 mm, while the accuracy of the predicted pressure levels are within ±7 mmHg, which conforms to the required accuracy of ±8 mmHg by The Association for the Advancement of Medical Instrumentation (AAMI).

Original languageEnglish
Pages (from-to)1437-1447
Number of pages11
JournalMicrosystem Technologies
Volume22
Issue number6
DOIs
StatePublished - 1 Jun 2016

Fingerprint Dive into the research topics of 'Optimizing a new cuffless blood pressure sensor via a solid–fluid-electric finite element model with consideration of varied mis-positionings'. Together they form a unique fingerprint.

Cite this