2 code implementations • 29 Jan 2022 • Serkan Kiranyaz, Ozer Can Devecioglu, Turker Ince, Junaid Malik, Muhammad Chowdhury, Tahir Hamid, Rashid Mazhar, Amith Khandakar, Anas Tahir, Tawsifur Rahman, Moncef Gabbouj
Usually, a set of such artifacts occur on the same ECG signal with varying severity and duration, and this makes an accurate diagnosis by machines or medical doctors extremely difficult.
no code implementations • 12 Nov 2021 • Sakib Mahmud, Nabil Ibtehaz, Amith Khandakar, Anas Tahir, Tawsifur Rahman, Khandaker Reajul Islam, Md Shafayet Hossain, M. Sohel Rahman, Mohammad Tariqul Islam, Muhammad E. H. Chowdhury
Most existing methods used in the hospitals for continuous monitoring of BP are invasive.
1 code implementation • 30 Sep 2021 • Moncef Gabbouj, Serkan Kiranyaz, Junaid Malik, Muhammad Uzair Zahid, Turker Ince, Muhammad Chowdhury, Amith Khandakar, Anas Tahir
Although numerous R-peak detectors have been proposed in the literature, their robustness and performance levels may significantly deteriorate in low-quality and noisy signals acquired from mobile electrocardiogram (ECG) sensors, such as Holter monitors.
no code implementations • 16 Feb 2021 • Nabil Ibtehaz, Muhammad E. H. Chowdhury, Amith Khandakar, Serkan Kiranyaz, M. Sohel Rahman, Anas Tahir, Yazan Qiblawey, Tawsifur Rahman
In this work, we present, EDITH, a deep learning-based framework for ECG biometrics authentication system.
no code implementations • 15 Feb 2021 • Yazan Qiblawey, Anas Tahir, Muhammad E. H. Chowdhury, Amith Khandakar, Serkan Kiranyaz, Tawsifur Rahman, Nabil Ibtehaz, Sakib Mahmud, Somaya Al-Madeed, Farayi Musharavati
Furthermore, the proposed system achieved an elegant performance for COVID-19 infection segmentation with a DSC of 94. 13% and IoU of 91. 85% using the FPN model with the DenseNet201 encoder.
no code implementations • 29 Dec 2020 • Muhammad Uzair Zahid, Serkan Kiranyaz, Turker Ince, Ozer Can Devecioglu, Muhammad E. H. Chowdhury, Amith Khandakar, Anas Tahir, Moncef Gabbouj
Results also demonstrate similar or better performance than most competing algorithms on MIT-DB with 99. 83% F1-score, 99. 85% recall, and 99. 82% precision.
no code implementations • 25 Nov 2020 • Tawsifur Rahman, Amith Khandakar, Yazan Qiblawey, Anas Tahir, Serkan Kiranyaz, Saad Bin Abul Kashem, Mohammad Tariqul Islam, Somaya Al Maadeed, Susu M Zughaier, Muhammad Salman Khan, Muhammad E. H. Chowdhury
The accuracy, precision, sensitivity, f1-score, and specificity in the detection of COVID-19 with gamma correction on CXR images were 96. 29%, 96. 28%, 96. 29%, 96. 28% and 96. 27% respectively.
no code implementations • 23 May 2020 • Anas Tahir, Yazan Qiblawey, Amith Khandakar, Tawsifur Rahman, Uzair Khurshid, Farayi Musharavati, M. T. Islam, Serkan Kiranyaz, Muhammad E. H. Chowdhury
All networks showed high COVID-19 detection sensitivity (>96%) with the segmented lung images.
1 code implementation • 4 May 2020 • Nabil Ibtehaz, Sakib Mahmud, Muhammad E. H. Chowdhury, Amith Khandakar, Mohamed Arselene Ayari, Anas Tahir, M. Sohel Rahman
This motivates us to develop a method to predict the continuous arterial blood pressure (ABP) waveform through a non-invasive approach using photoplethysmogram (PPG) signals.