Blood pressure estimation with complexity features from electrocardiogram and photoplethysmogram signals

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Blood pressure estimation with complexity features from electrocardiogram and photoplethysmogram signals

A novel method for the continual, cuff-less estimation of the systolic blood pressure (SBP) and diastolic blood pressure (DBP) values based on signal complexity analysis of the photoplethysmogram (PPG) and the electrocardiogram (ECG) is reported. The proposed framework estimates the blood pressure (...

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Bibliographic Details
Main Authors:	Yang, Sen, Zaki, Wan Suhaimizan Wan, Morgan, Stephen P., Cho, Siu-Yeung, Correia, Ricardo, Zhang, Yaping
Format:	Article
Language:	English
Published:	2020
Subjects:	Blood pressure (BP); Complexity analysis; Photoplethysmogram (PPG); Electrocardiogram (ECG); Machine learning
Online Access:	https://eprints.nottingham.ac.uk/60140/

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