Remotely Monitoring COVID-19 Patient Health Condition Using Metaheuristics Convolute Networks from IoT-Based Wearable Device Health Data

Contactless Measurement of Vital Signs Using Thermal and RGB Cameras: A Study of COVID 19-Related Health Monitoring

(2022) Fan Yang et al.   SENSORS

Using a Deep Learning Model to Explore the Impact of Clinical Data on COVID-19 Diagnosis Using Chest X-ray

(2022) Irfan Ullah Khan et al.   SENSORS

Automatic detection of COVID-19 disease using U-Net architecture based fully convolutional network

(2021) Prasad Kalane et al.   Biomedical Signal Processing and Control

Viral Replication and Antibody Kinetics in the Recognition of Asymptomatic COVID-19 Patients

(2021) Samuel Pecho-Silva et al.   CHEMOTHERAPY

IoT-cloud based healthcare model for COVID-19 detection: an enhanced k-Nearest Neighbour classifier based approach

(2021) Rajendrani Mukherjee et al.   COMPUTING

PPG-based human identification using Mel-frequency cepstral coefficients and neural networks

(2021) Ali I. Siam et al.   MULTIMEDIA TOOLS AND APPLICATIONS

Toward real-time and efficient cardiovascular monitoring for COVID-19 patients by 5G-enabled wearable medical devices: a deep learning approach

(2021) Liang Tan et al.   NEURAL COMPUTING & APPLICATIONS

CovXNet: A multi-dilation convolutional neural network for automatic COVID-19 and other pneumonia detection from chest X-ray images with transferable multi-receptive feature optimization

(2020) Tanvir Mahmud et al.   COMPUTERS IN BIOLOGY AND MEDICINE

The COVID-19 pandemic

(2020) Marco Ciotti et al.   CRITICAL REVIEWS IN CLINICAL LABORATORY SCIENCES

B5G and Explainable Deep Learning Assisted Healthcare Vertical at the Edge: COVID-I9 Perspective

(2020) Md. Abdur Rahman et al.   IEEE NETWORK

COVIDiagnosis-Net: Deep Bayes-SqueezeNet based diagnosis of the coronavirus disease 2019 (COVID-19) from X-ray images

(2020) Ferhat Ucar et al.   MEDICAL HYPOTHESES

Mental Health and the Covid-19 Pandemic

(2020) Betty Pfefferbaum et al.   NEW ENGLAND JOURNAL OF MEDICINE

Asymptomatic COVID-19 Patients Can Contaminate Their Surroundings: an Environment Sampling Study

(2020) Li Wei et al.   mSphere

An IoT-based framework for early identification and monitoring of COVID-19 cases

(2020) Mwaffaq Otoom et al.   Biomedical Signal Processing and Control

Descriptive, Retrospective Study of the Clinical Characteristics of Asymptomatic COVID-19 Patients

(2020) Huan Han et al.   mSphere

End-To-End Deep Learning Framework for Coronavirus (COVID-19) Detection and Monitoring

(2020) Nora El-Rashidy et al.   Electronics

Remote patient monitoring: a comprehensive study

(2017) Lakmini P. Malasinghe et al.   Journal of Ambient Intelligence and Humanized Computing