no code implementations • 25 Aug 2022 • Sakib Mahmud, Amith Khandakar, Muhammad E. H. Chowdhury, Mohammed AbdulMoniem, Mamun Bin Ibne Reaz, Zaid Bin Mahbub, Kishor Kumar Sadasivuni, M Murugappan, Mohammed Alhatou
Various foot complications can be easily avoided by continuous monitoring of foot plantar temperature and pressure.
no code implementations • 15 Jun 2022 • Tawsifur Rahman, Muhammad E. H. Chowdhury, Amith Khandakar, Zaid Bin Mahbub, Md Sakib Abrar Hossain, Abraham Alhatou, Eynas Abdalla, Sreekumar Muthiyal, Khandaker Farzana Islam, Saad Bin Abul Kashem, Muhammad Salman Khan, Susu M. Zughaier, Maqsud Hossain
This study uses 25 biomarkers and CXR images in predicting the risk in 930 COVID-19 patients admitted during the first wave of COVID-19 (March-June 2020) in Italy.
no code implementations • 9 Apr 2022 • Md Shafayet Hossain, Muhammad E. H. Chowdhury, Mamun Bin Ibne Reaz, Sawal H. M. Ali, Ahmad Ashrif A. Bakar, Serkan Kiranyaz, Amith Khandakar, Mohammed Alhatou, Rumana Habib, Muhammad Maqsud Hossain
The highest average {\Delta}SNR and {\eta} using single-stage artifacts removal techniques (WPD) are found as 16. 11 dB and 26. 40%, respectively for all the fNIRS signals using fk4 wavelet packet.
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.
1 code implementation • 20 Jan 2022 • Nabil Ibtehaz, Muhammad E. H. Chowdhury, Amith Khandakar, Susu M. Zughaier, Serkan Kiranyaz, M. Sohel Rahman
Raman spectroscopy provides a vibrational profile of the molecules and thus can be used to uniquely identify different kind of materials.
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 • 27 Jun 2021 • Amith Khandakar, Muhammad E. H. Chowdhury, Mamun Bin Ibne Reaz, Sawal Hamid Md Ali, Md Anwarul Hasan, Serkan Kiranyaz, Tawsifur Rahman, Rashad Alfkey, Ahmad Ashrif A. Bakar, Rayaz A. Malik
Several studies have reported that thermogram images may help to detect an increase in plantar temperature prior to DFU.
no code implementations • 1 Jun 2021 • Tawsifur Rahman, Alex Akinbi, Muhammad E. H. Chowdhury, Tarik A. Rashid, Abdulkadir Şengür, Amith Khandakar, Khandaker Reajul Islam, Aras M. Ismael
Six different deep CNN models (ResNet18, ResNet50, ResNet101, InceptionV3, DenseNet201, and MobileNetv2) were used to investigate three different classification schemes: two-class classification (Normal vs COVID-19); three-class classification (Normal, COVID-19, and Other CVDs), and finally, five-class classification (Normal, COVID-19, MI, AHB, and RMI).
no code implementations • 14 Mar 2021 • Anas M. Tahir, Muhammad E. H. Chowdhury, Amith Khandakar, Tawsifur Rahman, Yazan Qiblawey, Uzair Khurshid, Serkan Kiranyaz, Nabil Ibtehaz, M Shohel Rahman, Somaya Al-Madeed, Khaled Hameed, Tahir Hamid, Sakib Mahmud, Maymouna Ezeddin
In this study, we address this urgent need by proposing a systematic and unified approach for lung segmentation and COVID-19 localization with infection quantification from CXR images.
no code implementations • 18 Feb 2021 • Md Nazmul Islam Shuzan, Moajjem Hossain Chowdhury, Muhammad E. H. Chowdhury, M. Monir Uddin, Amith Khandakar, Zaid B. Mahbub, Naveed Nawaz
This ML model based RR estimation can be embedded in wearable devices for real-time continuous monitoring of the patient.
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 • 15 Dec 2020 • Kaleem Nawaz Khan, Faiq Ahmad Khan, Anam Abid, Tamer Olmez, Zumray Dokur, Amith Khandakar, Muhammad E. H. Chowdhury, Muhammad Salman Khan
Finally, the third study shows a precision of 98. 29% on the noisy PASCAL dataset with transfer learning approach.
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 • 29 Jul 2020 • Tawsifur Rahman, Amith Khandakar, Muhammad Abdul Kadir, Khandaker R. Islam, Khandaker F. Islam, Rashid Mazhar, Tahir Hamid, Mohammad T. Islam, Zaid B. Mahbub, Mohamed Arselene Ayari, Muhammad E. H. Chowdhury
The accuracy, precision, sensitivity, F1-score, specificity in the detection of tuberculosis using X-ray images were 97. 07 %, 97. 34 %, 97. 07 %, 97. 14 % and 97. 36 % respectively.
no code implementations • 29 Jul 2020 • Muhammad E. H. Chowdhury, Tawsifur Rahman, Amith Khandakar, Somaya Al-Madeed, Susu M. Zughaier, Suhail A. R. Doi, Hanadi Hassen, Mohammad T. Islam
The prognostic model, nomogram and LNLCA score can help in early detection of high mortality risk of COVID-19 patients, which will help doctors to improve the management of patient stratification.
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.
no code implementations • 7 May 2020 • Moajjem Hossain Chowdhury, Md Nazmul Islam Shuzan, Muhammad E. H. Chowdhury, Zaid B. Mahbub, M. Monir Uddin, Amith Khandakar, Mamun Bin Ibne Reaz
Hypertension is a potentially unsafe health ailment, which can be indicated directly from the Blood pressure (BP).
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.
no code implementations • 2 May 2020 • Mahmoud Dahmani, Muhammad E. H. Chowdhury, Amith Khandakar, Tawsifur Rahman, Khaled Al-Jayyousi, Abdalla Hefny, Serkan Kiranyaz
In the 34 developed and 156 developing countries, there are about 132 million disabled people who need a wheelchair constituting 1. 86% of the world population.
no code implementations • 14 Apr 2020 • Tawsifur Rahman, Muhammad E. H. Chowdhury, Amith Khandakar, Khandaker R. Islam, Khandaker F. Islam, Zaid B. Mahbub, Muhammad A. Kadir, Saad Kashem
The classification accuracy of normal and pneumonia images, bacterial and viral pneumonia images, and normal, bacterial and viral pneumonia were 98%, 95%, and 93. 3% respectively.
1 code implementation • 29 Mar 2020 • Muhammad E. H. Chowdhury, Tawsifur Rahman, Amith Khandakar, Rashid Mazhar, Muhammad Abdul Kadir, Zaid Bin Mahbub, Khandaker Reajul Islam, Muhammad Salman Khan, Atif Iqbal, Nasser Al-Emadi, Mamun Bin Ibne Reaz, T. I. Islam
The networks were trained to classify two different schemes: i) normal and COVID-19 pneumonia; ii) normal, viral and COVID-19 pneumonia with and without image augmentation.