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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Detalhes bibliográficos

Principais autores:	Amjed Al Fahoum, Ahmad Al Omari, Ghadeer Al Omari, Ala'a Zyout
Formato:	Artigo
Idioma:	Inglês
Publicado em:	Elsevier 2024-11-01
coleção:	Heliyon
Assuntos:	Continuous wavelet transform (CWT) Photoplethysmography (PPG) Deep learning Hypertension classification And PPG-NET architecture
Acesso em linha:	http://www.sciencedirect.com/science/article/pii/S2405844024157763
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