most citedA Shallow U-Net Architecture for Reliably Predicting Blood Pressure (BP) from Photoplethysmogram (PPG) and Electrocardiogram (ECG) Signals

93 citations · 160 across the 6 of their papers we have counts for

collaborators

6 papers

eess.SY2022★ 30 cited

Design, Implementation, and Performance Evaluation of a Fiber Bragg Gratings(FBG) based Smart Insole to Measure Plantar Pressure and Temperature

Sakib Mahmud, Amith Khandakar, Muhammad E. H. Chowdhury +6

Various foot complications can be easily avoided by continuous monitoring of foot plantar temperature and pressure. In this work, the design, characterization, and implementation o…

physics.med-ph2022

Design and Implementation of a Complete Wearable Smart Insole Solution to Measure Plantar Pressure and Temperature

Amith Khandakar, Sakib Mahmud, Muhammad E. H. Chowdhury +7

A complete smart insole solution that continuously monitors the foot plantar pressure and temperature can detect foot complications early and that too from the convenience of the u…

eess.SP2021★ 93 cited

A Shallow U-Net Architecture for Reliably Predicting Blood Pressure (BP) from Photoplethysmogram (PPG) and Electrocardiogram (ECG) Signals

Sakib Mahmud, Nabil Ibtehaz, Amith Khandakar +7

Cardiovascular diseases are the most common causes of death around the world. To detect and treat heart-related diseases, continuous Blood Pressure (BP) monitoring along with many…

eess.AS2021★ 37 cited

QUCoughScope: An Artificially Intelligent Mobile Application to Detect Asymptomatic COVID-19 Patients using Cough and Breathing Sounds

Muhammad E. H. Chowdhury, Nabil Ibtehaz, Tawsifur Rahman +6

In the break of COVID-19 pandemic, mass testing has become essential to reduce the spread of the virus. Several recent studies suggest that a significant number of COVID-19 patient…

eess.IV2021

COVID-19 Infection Localization and Severity Grading from Chest X-ray Images

Anas M. Tahir, Muhammad E. H. Chowdhury, Amith Khandakar +11

Coronavirus disease 2019 (COVID-19) has been the main agenda of the whole world, since it came into sight in December 2019 as it has significantly affected the world economy and he…

eess.IV2021

Detection and severity classification of COVID-19 in CT images using deep learning

Yazan Qiblawey, Anas Tahir, Muhammad E. H. Chowdhury +7

Since the breakout of coronavirus disease (COVID-19), the computer-aided diagnosis has become a necessity to prevent the spread of the virus. Detecting COVID-19 at an early stage i…