A Pervasive Respiratory Monitoring Sensor for COVID-19 Pandemic

<italic>Goal:</italic> The SARS-CoV-2 viral infection could cause severe acute respiratory syndrome, disturbing the regular breathing and leading to continuous coughing. Automatic respiration monitoring systems could provide the necessary metrics and warnings for timely intervention, esp...

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Autores principales:	Xiaoshuai Chen, Shuo Jiang, Zeyu Li, Benny Lo
Formato:	article
Lenguaje:	EN
Publicado:	IEEE 2021
Materias:	Ambient sensor cough detection COVID-19 pandemic healthcare respiration Computer applications to medicine. Medical informatics R858-859.7 Medical technology R855-855.5
Acceso en línea:	https://doaj.org/article/036b726395194a02a9fe8083cb448879
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spelling	oai:doaj.org-article:036b726395194a02a9fe8083cb4488792021-11-24T00:03:50ZA Pervasive Respiratory Monitoring Sensor for COVID-19 Pandemic2644-127610.1109/OJEMB.2020.3042051https://doaj.org/article/036b726395194a02a9fe8083cb4488792021-01-01T00:00:00Zhttps://ieeexplore.ieee.org/document/9277874/https://doaj.org/toc/2644-1276<italic>Goal:</italic> The SARS-CoV-2 viral infection could cause severe acute respiratory syndrome, disturbing the regular breathing and leading to continuous coughing. Automatic respiration monitoring systems could provide the necessary metrics and warnings for timely intervention, especially for those with mild symptoms. Current respiration detection systems are expensive and too obtrusive for any large-scale deployment. Thus, a low-cost pervasive ambient sensor is proposed. <italic>Methods:</italic> We will posit a barometer on the working desk and develop a novel signal processing algorithm with a sparsity-based filter to remove the similar-frequency noise. Three modes (coughing, breathing and others) will be conducted to detect coughing and estimate different respiration rates. <italic>Results:</italic> The proposed system achieved 97.33% accuracy of cough detection and 98.98% specificity of respiration rate estimation. <italic>Conclusions:</italic> This system could be used as an effective screening tool for detecting subjects suffering from COVID-19 symptoms and enable large scale monitoring of patients diagnosed with or recovering.Xiaoshuai ChenShuo JiangZeyu LiBenny LoIEEEarticleAmbient sensorcough detectionCOVID-19 pandemichealthcarerespirationComputer applications to medicine. Medical informaticsR858-859.7Medical technologyR855-855.5ENIEEE Open Journal of Engineering in Medicine and Biology, Vol 2, Pp 11-16 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Ambient sensor cough detection COVID-19 pandemic healthcare respiration Computer applications to medicine. Medical informatics R858-859.7 Medical technology R855-855.5
spellingShingle	Ambient sensor cough detection COVID-19 pandemic healthcare respiration Computer applications to medicine. Medical informatics R858-859.7 Medical technology R855-855.5 Xiaoshuai Chen Shuo Jiang Zeyu Li Benny Lo A Pervasive Respiratory Monitoring Sensor for COVID-19 Pandemic
description	<italic>Goal:</italic> The SARS-CoV-2 viral infection could cause severe acute respiratory syndrome, disturbing the regular breathing and leading to continuous coughing. Automatic respiration monitoring systems could provide the necessary metrics and warnings for timely intervention, especially for those with mild symptoms. Current respiration detection systems are expensive and too obtrusive for any large-scale deployment. Thus, a low-cost pervasive ambient sensor is proposed. <italic>Methods:</italic> We will posit a barometer on the working desk and develop a novel signal processing algorithm with a sparsity-based filter to remove the similar-frequency noise. Three modes (coughing, breathing and others) will be conducted to detect coughing and estimate different respiration rates. <italic>Results:</italic> The proposed system achieved 97.33% accuracy of cough detection and 98.98% specificity of respiration rate estimation. <italic>Conclusions:</italic> This system could be used as an effective screening tool for detecting subjects suffering from COVID-19 symptoms and enable large scale monitoring of patients diagnosed with or recovering.
format	article
author	Xiaoshuai Chen Shuo Jiang Zeyu Li Benny Lo
author_facet	Xiaoshuai Chen Shuo Jiang Zeyu Li Benny Lo
author_sort	Xiaoshuai Chen
title	A Pervasive Respiratory Monitoring Sensor for COVID-19 Pandemic
title_short	A Pervasive Respiratory Monitoring Sensor for COVID-19 Pandemic
title_full	A Pervasive Respiratory Monitoring Sensor for COVID-19 Pandemic
title_fullStr	A Pervasive Respiratory Monitoring Sensor for COVID-19 Pandemic
title_full_unstemmed	A Pervasive Respiratory Monitoring Sensor for COVID-19 Pandemic
title_sort	pervasive respiratory monitoring sensor for covid-19 pandemic
publisher	IEEE
publishDate	2021
url	https://doaj.org/article/036b726395194a02a9fe8083cb448879
work_keys_str_mv	AT xiaoshuaichen apervasiverespiratorymonitoringsensorforcovid19pandemic AT shuojiang apervasiverespiratorymonitoringsensorforcovid19pandemic AT zeyuli apervasiverespiratorymonitoringsensorforcovid19pandemic AT bennylo apervasiverespiratorymonitoringsensorforcovid19pandemic AT xiaoshuaichen pervasiverespiratorymonitoringsensorforcovid19pandemic AT shuojiang pervasiverespiratorymonitoringsensorforcovid19pandemic AT zeyuli pervasiverespiratorymonitoringsensorforcovid19pandemic AT bennylo pervasiverespiratorymonitoringsensorforcovid19pandemic
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A Pervasive Respiratory Monitoring Sensor for COVID-19 Pandemic

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