Machine Learning-Based Respiration Rate and Blood Oxygen Saturation Estimation Using Photoplethysmogram Signals

por Shuzan, Md Nazmul Islam, Chowdhury, Moajjem Hossain, Chowdhury, Muhammad E. H., Murugappan, Murugappan, Hoque Bhuiyan, Enamul, Arslane Ayari, Mohamed, Khandakar, Amith
Publicado 2023

Estimating Blood Pressure from the Photoplethysmogram Signal and Demographic Features Using Machine Learning Techniques

por Chowdhury, Moajjem Hossain, Shuzan, Md Nazmul Islam, Chowdhury, Muhammad E.H., Mahbub, Zaid B., Uddin, M. Monir, Khandakar, Amith, Reaz, Mamun Bin Ibne
Publicado 2020

Self-Attention MHDNet: A Novel Deep Learning Model for the Detection of R-Peaks in the Electrocardiogram Signals Corrupted with Magnetohydrodynamic Effect

por Chowdhury, Moajjem Hossain, Chowdhury, Muhammad E. H., Khan, Muhammad Salman, Ullah, Md Asad, Mahmud, Sakib, Khandakar, Amith, Hassan, Alvee, Tahir, Anas M., Hasan, Anwarul
Publicado 2023

A Novel Machine Learning Approach for Severity Classification of Diabetic Foot Complications Using Thermogram Images

por Khandakar, Amith, Chowdhury, Muhammad E. H., Reaz, Mamun Bin Ibne, Ali, Sawal Hamid Md, Kiranyaz, Serkan, Rahman, Tawsifur, Chowdhury, Moajjem Hossain, Ayari, Mohamed Arselene, Alfkey, Rashad, Bakar, Ahmad Ashrif A., Malik, Rayaz A., Hasan, Anwarul
Publicado 2022

Lightweight End-to-End Deep Learning Solution for Estimating the Respiration Rate from Photoplethysmogram Signal

por Chowdhury, Moajjem Hossain, Shuzan, Md Nazmul Islam, Chowdhury, Muhammad E. H., Reaz, Mamun Bin Ibne, Mahmud, Sakib, Al Emadi, Nasser, Ayari, Mohamed Arselene, Ali, Sawal Hamid Md, Bakar, Ahmad Ashrif A., Rahman, Syed Mahfuzur, Khandakar, Amith
Publicado 2022