Cargando…
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...
Autores principales: | Mahmud, Sakib, Ibtehaz, Nabil, Khandakar, Amith, Tahir, Anas M., Rahman, Tawsifur, Islam, Khandaker Reajul, Hossain, Md Shafayet, Rahman, M. Sohel, Musharavati, Farayi, Ayari, Mohamed Arselene, Islam, Mohammad Tariqul, Chowdhury, Muhammad E. H. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8840244/ https://www.ncbi.nlm.nih.gov/pubmed/35161664 http://dx.doi.org/10.3390/s22030919 |
Ejemplares similares
-
PPG2ABP: Translating Photoplethysmogram (PPG) Signals to Arterial Blood Pressure (ABP) Waveforms
por: Ibtehaz, Nabil, et al.
Publicado: (2022) -
Detection and Severity Classification of COVID-19 in CT Images Using Deep Learning
por: Qiblawey, Yazan, et al.
Publicado: (2021) -
Design and Performance Evaluation of a Novel Spiral Head-Stem Trunnion for Hip Implants Using Finite Element Analysis
por: Soliman, Md Mohiuddin, et al.
Publicado: (2023) -
COV-ECGNET: COVID-19 detection using ECG trace images with deep convolutional neural network
por: Rahman, Tawsifur, et al.
Publicado: (2022) -
Lightweight End-to-End Deep Learning Solution for Estimating the Respiration Rate from Photoplethysmogram Signal
por: Chowdhury, Moajjem Hossain, et al.
Publicado: (2022)