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Open AccessArticle

A Highly Sensitive Pressure-Sensing Array for Blood Pressure Estimation Assisted by Machine-Learning Techniques

1
Department of Mechanical Engineering, National Taiwan University, Taipei 10617, Taiwan
2
Department of Medicine, National Taiwan University, Taipei 10617, Taiwan
3
National Taiwan University Hospital, Taipei 10002, Taiwan
*
Author to whom correspondence should be addressed.
Sensors 2019, 19(4), 848; https://doi.org/10.3390/s19040848
Received: 12 January 2019 / Revised: 7 February 2019 / Accepted: 16 February 2019 / Published: 19 February 2019
(This article belongs to the Special Issue Polymeric Sensors)
This work describes the development of a pressure-sensing array for noninvasive continuous blood pulse-wave monitoring. The sensing elements comprise a conductive polymer film and interdigital electrodes patterned on a flexible Parylene C substrate. The polymer film was patterned with microdome structures to enhance the acuteness of pressure sensing. The proposed device uses three pressure-sensing elements in a linear array, which greatly facilitates the blood pulse-wave measurement. The device exhibits high sensitivity (−0.533 kPa−1) and a fast dynamic response. Furthermore, various machine-learning algorithms, including random forest regression (RFR), gradient-boosting regression (GBR), and adaptive boosting regression (ABR), were employed for estimating systolic blood pressure (SBP) and diastolic blood pressure (DBP) from the measured pulse-wave signals. Among these algorithms, the RFR-based method gave the best performance, with the coefficients of determination for the reference and estimated blood pressures being R2 = 0.871 for SBP and R2 = 0.794 for DBP, respectively. View Full-Text
Keywords: microstructure; polymer sensor; pulse-wave monitoring; machine learning technique; blood-pressure estimation microstructure; polymer sensor; pulse-wave monitoring; machine learning technique; blood-pressure estimation
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Huang, K.-H.; Tan, F.; Wang, T.-D.; Yang, Y.-J. A Highly Sensitive Pressure-Sensing Array for Blood Pressure Estimation Assisted by Machine-Learning Techniques. Sensors 2019, 19, 848.

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