Wearable sensing and telehealth technology with potential applications in the coronavirus pandemic
Coronavirus disease 2019 (COVID-19) has emerged as a pandemic with serious clinical
manifestations including death. A pandemic at the large-scale like COVID-19 places …
manifestations including death. A pandemic at the large-scale like COVID-19 places …
Wearable technology to assist the patients infected with novel coronavirus (COVID-19)
Wearable technology plays a significant role in our daily life as well as in the healthcare
industry. The recent coronavirus pandemic has taken the world's healthcare systems by …
industry. The recent coronavirus pandemic has taken the world's healthcare systems by …
Exploring automatic diagnosis of COVID-19 from crowdsourced respiratory sound data
Audio signals generated by the human body (eg, sighs, breathing, heart, digestion, vibration
sounds) have routinely been used by clinicians as indicators to diagnose disease or assess …
sounds) have routinely been used by clinicians as indicators to diagnose disease or assess …
[HTML][HTML] Automatic diagnosis of COVID-19 disease using deep convolutional neural network with multi-feature channel from respiratory sound data: cough, voice, and …
The problem of respiratory sound classification has received good attention from the clinical
scientists and medical researcher's community in the last year to the diagnosis of COVID-19 …
scientists and medical researcher's community in the last year to the diagnosis of COVID-19 …
Sounds of COVID-19: exploring realistic performance of audio-based digital testing
To identify Coronavirus disease (COVID-19) cases efficiently, affordably, and at scale, recent
work has shown how audio (including cough, breathing and voice) based approaches can …
work has shown how audio (including cough, breathing and voice) based approaches can …
Detection of COVID-19 in smartphone-based breathing recordings: A pre-screening deep learning tool
M Alkhodari, AH Khandoker - PloS one, 2022 - journals.plos.org
This study was sought to investigate the feasibility of using smartphone-based breathing
sounds within a deep learning framework to discriminate between COVID-19, including …
sounds within a deep learning framework to discriminate between COVID-19, including …
Automated, multiparametric monitoring of respiratory biomarkers and vital signs in clinical and home settings for COVID-19 patients
Capabilities in continuous monitoring of key physiological parameters of disease have never
been more important than in the context of the global COVID-19 pandemic. Soft, skin …
been more important than in the context of the global COVID-19 pandemic. Soft, skin …
[HTML][HTML] Automatic COVID-19 disease diagnosis using 1D convolutional neural network and augmentation with human respiratory sound based on parameters: cough …
The issue in respiratory sound classification has attained good attention from the clinical
scientists and medical researcher's group in the last year to diagnosing COVID-19 disease …
scientists and medical researcher's group in the last year to diagnosing COVID-19 disease …
A deep-learning based multimodal system for Covid-19 diagnosis using breathing sounds and chest X-ray images
Covid-19 has become a deadly pandemic claiming more than three million lives worldwide.
SARS-CoV-2 causes distinct pathomorphological alterations in the respiratory system …
SARS-CoV-2 causes distinct pathomorphological alterations in the respiratory system …
[HTML][HTML] QUCoughScope: an intelligent application to detect COVID-19 patients using cough and breath sounds
Problem—Since the outbreak of the COVID-19 pandemic, mass testing has become
essential to reduce the spread of the virus. Several recent studies suggest that a significant …
essential to reduce the spread of the virus. Several recent studies suggest that a significant …