Saha, Sanjib Dutta, Subhadeep Goswami, Biswarup Nandi, Debashis
Published in
Biomedical signal processing and control
An automatic method for qualitative and quantitative evaluation of chest Computed Tomography (CT) images is essential for diagnosing COVID-19 patients. We aim to develop an automated COVID-19 prediction framework using deep learning. We put forth a novel Deep Neural Network (DNN) composed of an attention-based dense U-Net with deep supervision for ...
Khan, Asad Mansoor Akram, Muhammad Usman Nazir, Sajid Hassan, Taimur Khawaja, Sajid Gul Fatima, Tatheer
Published in
Biomedical signal processing and control
Chest X-rays (CXR) are the most commonly used imaging methodology in radiology to diagnose pulmonary diseases with close to 2 billion CXRs taken every year. The recent upsurge of COVID-19 and its variants accompanied by pneumonia and tuberculosis can be fatal in some cases and lives could be saved through early detection and appropriate interventio...
Liu, Yishu Chen, Bingzhi Zhang, Zheng Yu, Hongbing Ru, Shouhang Chen, Xiaosheng Lu, Guangming
Published in
Biomedical signal processing and control
Prior studies for the task of severity assessment of COVID-19 (SA-COVID) usually suffer from domain-specific cognitive deficits. They mainly focus on visual cues based on single cognitive functions but fail to reconcile the valuable information from other alternative views. Inspired by the cognitive process of radiologists, this paper shifts natura...
Sarvari, A V P Sridevi, K
Published in
Biomedical signal processing and control
COVID-19 has spread all over the world, causing serious panic around the globe. Chest computed tomography (CT) images are integral in confirming COVID positive patients. Several investigations were conducted to improve or maintain the image reconstruction quality for the sample image reconstruction. Deep learning (DL) methods have recently been pro...
Li, Jianan Zhu, Ziling Boyd, William J Martinez-Luna, Carlos Dai, Chenyun Wang, Haopeng Wang, He Huang, Xinming Farrell, Todd R Clancy, Edward A
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Published in
Biomedical signal processing and control
Most transradial prosthesis users with conventional "Sequential" myoelectric control have two electrode sites which control one degree of freedom (DoF) at a time. Rapid EMG co-activation toggles control between DoFs (e.g., hand and wrist), providing limited function. We implemented a regression-based EMG control method which achieved simultaneous a...
Kavuran, Gürkan Gökhan, Şeyma Yeroğlu, Celaleddin
Published in
Biomedical signal processing and control
The measures taken during the pandemic have had lasting effects on people's lives and perceptions of the ability of national and multilateral institutions to drive human development. Policies that changed people's behavior were at the heart of containing the spread of the virus. As a result, it has become a systemic human development crisis affecti...
Bhosale, Yogesh H Patnaik, K Sridhar
Published in
Biomedical signal processing and control
In the current COVID-19 outbreak, efficient testing of COVID-19 individuals has proven vital to limiting and arresting the disease's accelerated spread globally. It has been observed that the severity and mortality ratio of COVID-19 affected patients is at greater risk because of chronic pulmonary diseases. This study looks at radiographic examinat...
Khairulbahri, Muhamad
Published in
Biomedical signal processing and control
The Sweden approach is unique in handling the COVID-19 flow, compared to other European countries. While other countries have practiced the full lockdowns, Sweden has practiced the lighter lockdowns or the partial lockdowns as public spaces such as cafes and restaurants are allowed to serve their customers subject to government recommendations. Thi...
Hu, Min Wu, Xia Wang, Xiaohua Xing, Yan An, Ning Shi, Piao
Published in
Biomedical signal processing and control
Blood Oxygen ( SpO 2 ), a key indicator of respiratory function, has received increasing attention during the COVID-19 pandemic. Clinical results show that patients with COVID-19 likely have distinct lower SpO 2 before the onset of significant symptoms. Aiming at the shortcomings of current methods for monitoring SpO 2 by face videos, this paper pr...
Balasubramaniam, S Satheesh Kumar, K
Published in
Biomedical signal processing and control
COVID-19 pandemic is the main outbreak in the world, which has shown a bad impact on people's lives in more than 150 countries. The major steps in fighting COVID-19 are identifying the affected patients as early as possible and locating them with special care. Images from radiology and radiography are among the most effective tools for determining ...
