Accepted for/Published in: JMIR mHealth and uHealth
Date Submitted: Apr 9, 2022
Date Accepted: Jun 8, 2022
Date Submitted to PubMed: Jun 9, 2022
Warning: This is an author submission that is not peer-reviewed or edited. Preprints - unless they show as "accepted" - should not be relied on to guide clinical practice or health-related behavior and should not be reported in news media as established information.
Beyond Pathogen Filtration: A Scoping Review on Smart Masks to Aid Health Intervention
ABSTRACT
Background:
Although the use of face masks has increased as a result of the spread of the COVID-19 pandemic, face masks have an important role in the health and industrial sectors as wearable devices.
Objective:
The objective of this study was to review the use of face masks as reported in current academic publications and in reports on commercially available smart masks, wearable devices, and health monitoring.
Methods:
We selected studies on smart marks through a keyword search on the databases such as Google Scholar, Web of Science, ScienceDirect, and EBSCO from January 2020 to December 2021 search period. We reviewed studies that included smart sensor features for possible functional extensions to smart masks.
Results:
The most commonly reported mask types were found to be single-use surgical masks and reusable fabric-based face masks for breathing protection associated with the Covid-19 pandemic. Smart masks however are now equipped with smart sensing modules that perform measurements of breath pattern, pulse, temperature, and air intake rather than performing a purely protective role.
Conclusions:
The integration of sensing, actuation, connectivity, and Internet-of-Things (IoT) into Smart masks gathers health data from the user and aids in health-related event detection in real time, as well as environmental characteristics. The literature suggests that connected smart masks will decrease medical costs associated with early detection of user and environmental health factors, whereby comparison of personal data to large-scale public data will also allow (among others) the setup of personalized health treatment plans. The ideal research prototypes for smart respiratory protective equipment are identified in addition to future research directions.
Citation
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Copyright
© The authors. All rights reserved. This is a privileged document currently under peer-review/community review (or an accepted/rejected manuscript). Authors have provided JMIR Publications with an exclusive license to publish this preprint on it's website for review and ahead-of-print citation purposes only. While the final peer-reviewed paper may be licensed under a cc-by license on publication, at this stage authors and publisher expressively prohibit redistribution of this draft paper other than for review purposes.