تصفح Biomedical Research Center حسب المؤلف "Mahmud, Sakib"
-
Fetal ECG extraction from maternal ECG using deeply supervised LinkNet++ model
Arafat, Rahman; Mahmud, Sakib; Chowdhury, Muhammad E.H.; Yalcin, Huseyin Cagatay; Khandakar, Amith; Mutlu, Onur; Mahbub, Zaid Bin; Kamal, Reema Yousef; Pedersen, Shona... more authors ... less authors ( Elsevier , 2023 , Article)Fetal heart monitoring and early disease detection using non-invasive fetal electrocardiograms (fECG) can help substantially to reduce infant death through improved diagnosis of Coronary Heart Disease (CHD) in the fetus. ... -
A novel deep learning technique for morphology preserved fetal ECG extraction from mother ECG using 1D-CycleGAN
Promit, Basak; Nazmus Sakib, A.H.M; Chowdhury, Muhammad E.H.; Al-Emadi, Nasser; Cagatay Yalcin, Huseyin; Pedersen, Shona; Mahmud, Sakib; Kiranyaz, Serkan; Al-Maadeed, Somaya... more authors ... less authors ( Elsevier , 2024 , Article)The non-invasive fetal electrocardiogram (fECG) enables easy detection of developing heart abnormalities, leading to a significant reduction in infant mortality rate and post-natal complications. Due to the overlapping of ... -
PCovNet: A presymptomatic COVID-19 detection framework using deep learning model using wearables data
Abir, Farhan Fuad; Alyafei, Khalid; Chowdhury, Muhammad E.H.; Khandakar, Amith; Ahmed, Rashid; Hossain, Muhammad Maqsud; Mahmud, Sakib; Rahman, Ashiqur; Abbas, Tareq O.; Zughaier, Susu M.; Naji, Khalid Kamal... more authors ... less authors ( Elsevier , 2022 , Article)While the advanced diagnostic tools and healthcare management protocols have been struggling to contain the COVID-19 pandemic, the spread of the contagious viral pathogen before the symptom onset acted as the Achilles' ...