Classification of blood pressure in critically ill patients using photoplethysmography and machine learning-Reference-Cited by-同舟云学术

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Classification of blood pressure in critically ill patients using photoplethysmography and machine learning

Published:2021-09 Issue: Volume:208 Page:106222
ISSN:0169-2607
Container-title:Computer Methods and Programs in Biomedicine
language:en
Short-container-title:Computer Methods and Programs in Biomedicine

Author:

Mejía-Mejía Elisa^ORCID,May James M.^ORCID,Elgendi Mohamed^ORCID,Kyriacou Panayiotis A.

Publisher

Elsevier BV

Subject

Health Informatics,Computer Science Applications,Software

Reference53 articles.

1. What is blood pressure?, 2019, (Online), url: https://www.nhs.uk/common-health-questions/lifestyle/what-is-blood-pressure/.

2. A review of machine learning techniques in photoplethysmography for the non-invasive cuff-less measurement of blood pressure;El-Hajj;Biomed Signal Process Control,2020

3. Deep learning models for cuffless blood pressure monitoring from PPG signals using attention mechanism;El-Hajj;Biomed Signal Process Control,2021

4. Human Physiology;Fox,2016

5. Low blood pressure (hypotension), 2017, (Online), url: https://www.nhs.uk/conditions/low-blood-pressure-hypotension/.

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1. Development of continuous cuffless blood pressure prediction platform using enhanced 1-D SENet–LSTM;Expert Systems with Applications;2024-05

2. ExHyptNet: An explainable diagnosis of hypertension using EfficientNet with PPG signals;Expert Systems with Applications;2024-04

3. A novel CS-NET architecture based on the unification of CNN, SVM and super-resolution spectrogram to monitor and classify blood pressure using photoplethysmography;Computer Methods and Programs in Biomedicine;2023-10

4. Classification of pulmonary arterial pressure using photoplethysmography and bi-directional LSTM;Biomedical Signal Processing and Control;2023-09

5. A novel interpretable feature set optimization method in blood pressure estimation using photoplethysmography signals;Biomedical Signal Processing and Control;2023-09

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