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 Enamul Hoque Chowdhury. A Shallow U-Net Architecture for Reliably Predicting Blood Pressure (BP) from Photoplethysmogram (PPG) and Electrocardiogram (ECG) Signals. Sensors, 22(3):919, 2022. [doi]
@article{MahmudIKTRIHRMA22,
title = {A Shallow U-Net Architecture for Reliably Predicting Blood Pressure (BP) from Photoplethysmogram (PPG) and Electrocardiogram (ECG) Signals},
author = {Sakib Mahmud and Nabil Ibtehaz and Amith Khandakar and Anas M. Tahir and Tawsifur Rahman and Khandaker Reajul Islam and Md. Shafayet Hossain and M. Sohel Rahman and Farayi Musharavati and Mohamed Arselene Ayari and Mohammad Tariqul Islam and Muhammad Enamul Hoque Chowdhury},
year = {2022},
doi = {10.3390/s22030919},
url = {https://doi.org/10.3390/s22030919},
researchr = {https://researchr.org/publication/MahmudIKTRIHRMA22},
cites = {0},
citedby = {0},
journal = {Sensors},
volume = {22},
number = {3},
pages = {919},
}