Remote monitoring of patient respiration with mask attachment—a pragmatic solution for medical facilities

Remote monitoring of vital signs in infectious patients minimizes the risks of viral transmissions to healthcare professionals. Evidence indicates that donning face masks reduces the risk of viral transmissions and is now the norm in medical facilities. We propose attaching an acoustic-sensing de...

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Main Authors: Koh, Vivian Ci Ai, Ang, Yi Yang, Ser, Wee, Tan, Rex Xiao
Other Authors: School of Electrical and Electronic Engineering
Format: Article
Language:English
Published: 2022
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Online Access:https://hdl.handle.net/10356/154956
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-1549562022-05-27T01:16:14Z Remote monitoring of patient respiration with mask attachment—a pragmatic solution for medical facilities Koh, Vivian Ci Ai Ang, Yi Yang Ser, Wee Tan, Rex Xiao School of Electrical and Electronic Engineering Aevice Health Pte Ltd Engineering::Electrical and electronic engineering Acoustic Sensor Face Mask Remote monitoring of vital signs in infectious patients minimizes the risks of viral transmissions to healthcare professionals. Evidence indicates that donning face masks reduces the risk of viral transmissions and is now the norm in medical facilities. We propose attaching an acoustic-sensing device onto face masks to assist medical facilities in monitoring patients' respiration remotely. Usability and functionality studies of the modified face mask were evaluated on 16 healthy participants, who were blindfolded throughout the data collection. Around half of the participants noticed the difference between the modified and unmodified masks but they also reported there was no discomfort in using the modified mask. Respiratory rates of the participants were evaluated for one minute and the mean error of respiratory rate was found to be 2.0 +/- 1.3 breath per minute. As all participants were healthy, the wheeze detection algorithm was assessed by playing 176 wheezes and 176 normal breaths through a foam mannequin. The recordings were played at three different times to account for varying environmental noise. The overall accuracy of the wheeze detection algorithm was 91.9%. The current findings support and suggest the use of the mask attachment in medical facilities. Published version This research is funded by Aevice Health Pte Ltd., a medical device research and development company based in Singapore. 2022-05-27T01:16:14Z 2022-05-27T01:16:14Z 2021 Journal Article Koh, V. C. A., Ang, Y. Y., Ser, W. & Tan, R. X. (2021). Remote monitoring of patient respiration with mask attachment—a pragmatic solution for medical facilities. Inventions, 6(4), 81-. https://dx.doi.org/10.3390/inventions6040081 2411-5134 https://hdl.handle.net/10356/154956 10.3390/inventions6040081 2-s2.0-85119128576 4 6 81 en Inventions © 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic Engineering::Electrical and electronic engineering
Acoustic Sensor
Face Mask
spellingShingle Engineering::Electrical and electronic engineering
Acoustic Sensor
Face Mask
Koh, Vivian Ci Ai
Ang, Yi Yang
Ser, Wee
Tan, Rex Xiao
Remote monitoring of patient respiration with mask attachment—a pragmatic solution for medical facilities
description Remote monitoring of vital signs in infectious patients minimizes the risks of viral transmissions to healthcare professionals. Evidence indicates that donning face masks reduces the risk of viral transmissions and is now the norm in medical facilities. We propose attaching an acoustic-sensing device onto face masks to assist medical facilities in monitoring patients' respiration remotely. Usability and functionality studies of the modified face mask were evaluated on 16 healthy participants, who were blindfolded throughout the data collection. Around half of the participants noticed the difference between the modified and unmodified masks but they also reported there was no discomfort in using the modified mask. Respiratory rates of the participants were evaluated for one minute and the mean error of respiratory rate was found to be 2.0 +/- 1.3 breath per minute. As all participants were healthy, the wheeze detection algorithm was assessed by playing 176 wheezes and 176 normal breaths through a foam mannequin. The recordings were played at three different times to account for varying environmental noise. The overall accuracy of the wheeze detection algorithm was 91.9%. The current findings support and suggest the use of the mask attachment in medical facilities.
author2 School of Electrical and Electronic Engineering
author_facet School of Electrical and Electronic Engineering
Koh, Vivian Ci Ai
Ang, Yi Yang
Ser, Wee
Tan, Rex Xiao
format Article
author Koh, Vivian Ci Ai
Ang, Yi Yang
Ser, Wee
Tan, Rex Xiao
author_sort Koh, Vivian Ci Ai
title Remote monitoring of patient respiration with mask attachment—a pragmatic solution for medical facilities
title_short Remote monitoring of patient respiration with mask attachment—a pragmatic solution for medical facilities
title_full Remote monitoring of patient respiration with mask attachment—a pragmatic solution for medical facilities
title_fullStr Remote monitoring of patient respiration with mask attachment—a pragmatic solution for medical facilities
title_full_unstemmed Remote monitoring of patient respiration with mask attachment—a pragmatic solution for medical facilities
title_sort remote monitoring of patient respiration with mask attachment—a pragmatic solution for medical facilities
publishDate 2022
url https://hdl.handle.net/10356/154956
_version_ 1734310333604954112