Applied machine learning for blood pressure estimation using a small, real-world electrocardiogram and photoplethysmogram dataset

Applied machine learning for blood pressure estimation using a small, real-world electrocardiogram and photoplethysmogram dataset

Applying machine learning techniques to electrocardiography and photoplethysmography signals and their multivariate-derived waveforms is an ongoing effort to estimate non-occlusive blood pressure. Unfortunately, real ambulatory electrocardiography and photoplethysmography waveforms are inevitably af...

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Bibliographic Details
Main Authors: Mark Kei Fong Wong, Hao Hei, Si Zhou Lim, Eddie Yin-Kwee Ng
Format: Article
Language:English
Published: AIMS Press 2023-01-01
Series:Mathematical Biosciences and Engineering
Subjects:
non-occluding blood pressure
noisy data
machine learning
photoplethysmography
electrocardiography
Online Access:https://www.aimspress.com/article/doi/10.3934/mbe.2023045?viewType=HTML

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https://www.aimspress.com/article/doi/10.3934/mbe.2023045?viewType=HTML

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