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Article

Improving Cuff-Less Continuous Blood Pressure Estimation with Linear Regression Analysis

by 1,†, 2,†, 2,†, 2,†, 2,† and 1,2,*,†
1
LINKS Foundation, 10138 Turin, Italy
2
Department of Electronics and Telecommunications, Polytechnic University of Turin, 10129 Turin, Italy
*
Author to whom correspondence should be addressed.
These authors contributed equally to this work.
Academic Editor: Enzo Pasquale Scilingo
Electronics 2022, 11(9), 1442; https://doi.org/10.3390/electronics11091442
Received: 28 February 2022 / Revised: 26 April 2022 / Accepted: 27 April 2022 / Published: 29 April 2022
In this work, the authors investigate the cuff-less estimation of continuous BP through pulse transit time (PTT) and heart rate (HR) using regression techniques, which is intended as a first step towards continuous BP estimation with a low error, according to AAMI guidelines. Hypertension (the ‘silent killer’) is one of the main risk factors for cardiovascular diseases (CVDs), which are the main cause of death worldwide. Its continuous monitoring can offer a valid tool for patient care, as blood pressure (BP) is a significant indicator of health and, using it together with other parameters, such as heart and breath rates, could strongly improve prevention of CVDs. The novelties introduced in this work are represented by the implementation of pre-processing and by the innovative method for features research and features processing to continuously monitor blood pressure in a non-invasive way. Currently, invasive methods are the only reliable methods for continuous monitoring, while non-invasive techniques measure the values every few minutes. The proposed approach can be considered the first step for the integration of these types of algorithms on wearable devices, in particular on those developed for the SINTEC project. View Full-Text
Keywords: ECG; PPG; pulse transit time; blood pressure; regression analysis ECG; PPG; pulse transit time; blood pressure; regression analysis
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MDPI and ACS Style

Figini, V.; Galici, S.; Russo, D.; Centonze, I.; Visintin, M.; Pagana, G. Improving Cuff-Less Continuous Blood Pressure Estimation with Linear Regression Analysis. Electronics 2022, 11, 1442. https://doi.org/10.3390/electronics11091442

AMA Style

Figini V, Galici S, Russo D, Centonze I, Visintin M, Pagana G. Improving Cuff-Less Continuous Blood Pressure Estimation with Linear Regression Analysis. Electronics. 2022; 11(9):1442. https://doi.org/10.3390/electronics11091442

Chicago/Turabian Style

Figini, Valeria, Sofia Galici, Daniele Russo, Ilenia Centonze, Monica Visintin, and Guido Pagana. 2022. "Improving Cuff-Less Continuous Blood Pressure Estimation with Linear Regression Analysis" Electronics 11, no. 9: 1442. https://doi.org/10.3390/electronics11091442

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