Development of a novel light-sensitive PPG model using PPG scalograms and PPG-NET learning for non-invasive hypertension monitoring

Development of a novel light-sensitive PPG model using PPG scalograms and PPG-NET learning for non-invasive hypertension monitoring

Background and objective: Photoplethysmography (PPG) signals provide a non-invasive method for monitoring cardiovascular health, including blood pressure levels, which are critical for the early detection and management of hypertension. This study leverages wavelet transformation and special purpose...

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Bibliographic Details
Main Authors: Amjed Al Fahoum, Ahmad Al Omari, Ghadeer Al Omari, Ala'a Zyout
Format: Article
Language:English
Published: Elsevier 2024-11-01
Series:Heliyon
Subjects:
Continuous wavelet transform (CWT)
Photoplethysmography (PPG)
Deep learning
Hypertension classification
And PPG-NET architecture
Online Access:http://www.sciencedirect.com/science/article/pii/S2405844024157763
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http://www.sciencedirect.com/science/article/pii/S2405844024157763

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