[HTML][HTML] Machine learning empowered COVID-19 patient monitoring using non-contact sensing: An extensive review
The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), which caused the
coronavirus disease 2019 (COVID-19) pandemic, has affected more than 400 million people …
coronavirus disease 2019 (COVID-19) pandemic, has affected more than 400 million people …
[HTML][HTML] A Review of the State of the Art in Non-Contact Sensing for COVID-19
COVID-19, caused by SARS-CoV-2, has resulted in a global pandemic recently. With no
approved vaccination or treatment, governments around the world have issued guidance to …
approved vaccination or treatment, governments around the world have issued guidance to …
[HTML][HTML] Improving machine learning classification accuracy for breathing abnormalities by enhancing dataset
The recent severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), also known as
coronavirus disease (COVID)-19, has appeared as a global pandemic with a high mortality …
coronavirus disease (COVID)-19, has appeared as a global pandemic with a high mortality …
Non-contact screening system based for COVID-19 on XGBoost and logistic regression
C Dong, Y Qiao, C Shang, X Liao, X Yuan… - Computers in biology …, 2022 - Elsevier
Background The coronavirus disease (COVID-19) effected a global health crisis in 2019,
2020, and beyond. Currently, methods such as temperature detection, clinical …
2020, and beyond. Currently, methods such as temperature detection, clinical …
[HTML][HTML] Non-contact monitoring and classification of breathing pattern for the supervision of people infected by COVID-19
During the pandemic of coronavirus disease-2019 (COVID-19), medical practitioners need
non-contact devices to reduce the risk of spreading the virus. People with COVID-19 usually …
non-contact devices to reduce the risk of spreading the virus. People with COVID-19 usually …
Deep learning-based detection of COVID-19 using wearables data
Background COVID-19 is an infectious disease caused by SARS-CoV-2 that is primarily
diagnosed using laboratory tests, which are frequently not administered until after symptom …
diagnosed using laboratory tests, which are frequently not administered until after symptom …
Artificial intelligence mobile health platform for early detection of COVID-19 in quarantine subjects using a wearable biosensor: protocol for a randomised controlled …
CK Wong, DTY Ho, AR Tam, M Zhou, YM Lau… - BMJ open, 2020 - bmjopen.bmj.com
Introduction There is an outbreak of COVID-19 worldwide. As there is no effective therapy or
vaccine yet, rigorous implementation of traditional public health measures such as isolation …
vaccine yet, rigorous implementation of traditional public health measures such as isolation …
[HTML][HTML] COVID-19 diagnostics, tools, and prevention
The Coronavirus Disease 2019 (COVID-19), caused by the severe acute respiratory
syndrome coronavirus-2 (SARS-CoV-2), outbreak from Wuhan City, Hubei province, China …
syndrome coronavirus-2 (SARS-CoV-2), outbreak from Wuhan City, Hubei province, China …
A Novel Deep Convolutional Neural Network Model to Monitor People following Guidelines to Avoid COVID‐19
COVID‐19, a deadly disease that originated in Wuhan, China, has resulted in a global
outbreak. Patients infected with the causative virus SARS‐CoV‐2 are placed in quarantine …
outbreak. Patients infected with the causative virus SARS‐CoV‐2 are placed in quarantine …
[HTML][HTML] Passive detection of COVID-19 with wearable sensors and explainable machine learning algorithms
Individual smartwatch or fitness band sensor data in the setting of COVID-19 has shown
promise to identify symptomatic and pre-symptomatic infection or the need for …
promise to identify symptomatic and pre-symptomatic infection or the need for …