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Robust R-Peak Detection in Low-Quality Holter ECGs Using 1D Convolutional Neural Network

Zahid M.U.; Kiranyaz, Mustafa Serkan; Ince T.; Devecioglu O.C.; Chowdhury M.E.H.; ... more authors ... less authors ( IEEE Computer Society , 2022 , Article)

Objective: Noise and low quality of ECG signals acquired from Holter or wearable devices deteriorate the accuracy and robustness of R-peak detection algorithms. This paper presents a generic and robust system for R-peak ...

An intelligent and low-cost eye-tracking system for motorized wheelchair control

Dahmani M.; Chowdhury M.E.H.; Khandakar A.; Rahman T.; Al-Jayyousi K.; ... more authors ... less authors ( MDPI AG , 2020 , Article)

In the 34 developed and 156 developing countries, there are ~132 million disabled people who need a wheelchair, constituting 1.86% of the world population. Moreover, there are millions of people suffering from diseases ...

Convolutional Sparse Support Estimator-Based COVID-19 Recognition from X-Ray Images

Yamac M.; Ahishali M.; Degerli A.; Kiranyaz, Mustafa Serkan; Chowdhury M.E.H.; ... more authors ... less authors ( Institute of Electrical and Electronics Engineers Inc. , 2021 , Article)

Coronavirus disease (COVID-19) has been the main agenda of the whole world ever since it came into sight. X-ray imaging is a common and easily accessible tool that has great potential for COVID-19 diagnosis and prognosis. ...

COVID-19 infection localization and severity grading from chest X-ray images

Tahir A.M.; Chowdhury M.E.H.; Khandakar A.; Rahman T.; Qiblawey Y.; ... more authors ... less authors ( Elsevier Ltd , 2021 , Article)

The immense spread of coronavirus disease 2019 (COVID-19) has left healthcare systems incapable to diagnose and test patients at the required rate. Given the effects of COVID-19 on pulmonary tissues, chest radiographic ...