A Shallow U-Net Architecture for Reliably Predicting Blood Pressure (BP) from Photoplethysmogram (PPG) and Electrocardiogram (ECG) Signals

A Shallow U-Net Architecture for Reliably Predicting Blood Pressure (BP) from Photoplethysmogram (PPG) and Electrocardiogram (ECG) Signals

Cardiovascular diseases are the most common causes of death around the world. To detect and treat heart-related diseases, continuous blood pressure (BP) monitoring along with many other parameters are required. Several invasive and non-invasive methods have been developed for this purpose. Most exis...

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Detalhes bibliográficos
Principais autores: Sakib Mahmud, Nabil Ibtehaz, Amith Khandakar, Anas M. Tahir, Tawsifur Rahman, Khandaker Reajul Islam, Md Shafayet Hossain, M. Sohel Rahman, Farayi Musharavati, Mohamed Arselene Ayari, Mohammad Tariqul Islam, Muhammad E. H. Chowdhury
Formato: Artigo
Idioma:English
Publicado em: MDPI AG 2022-01-01
coleção:Sensors
Assuntos:
systolic blood pressure
diastolic blood pressure
arterial blood pressure
photoplethysmogram
electrocardiogram
autoencoder
Acesso em linha:https://www.mdpi.com/1424-8220/22/3/919

Internet

https://www.mdpi.com/1424-8220/22/3/919

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