Please use this identifier to cite or link to this item: http://hdl.handle.net/20.500.11861/8277
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dc.contributor.authorYi, Wei-Yingen_US
dc.contributor.authorZhou, Yuen_US
dc.contributor.authorChan, Ya-Fenen_US
dc.contributor.authorLeung, Yeeen_US
dc.contributor.authorWoo, Kam-Sangen_US
dc.contributor.authorChe, Wen-Weien_US
dc.contributor.authorLau, Kai-Honen_US
dc.contributor.authorChen, Jia-Minen_US
dc.contributor.authorProf. LEUNG Kwong Saken_US
dc.date.accessioned2023-10-17T04:21:42Z-
dc.date.available2023-10-17T04:21:42Z-
dc.date.issued2022-
dc.identifier.citationarXiv, 2022, article no. arXiv:2207.05140.en_US
dc.identifier.issn2331-8422-
dc.identifier.urihttp://hdl.handle.net/20.500.11861/8277-
dc.description.abstractTo mitigate the significant biases/errors in research studying the associations between PM and health, which are introduced by the coarse/inadequate assessments of PM exposure from conventional PM monitoring paradigm, a personalized monitoring system consisting of a low-cost wearable PM device is proposed. However, due to the absence of a unifying evaluation protocol for low-cost PM sensors, the evaluation results/performance specifications from existing studies/datasheets are of limited reference values when attempting to determine the best candidate for the proposed system. In this regard, the authors appeal to the research community to develop a standardized evaluation protocol for low-cost PM sensors/devices, and a unifying attempt is established in this manuscript by adopting the definitive terminology from international documents and the evaluation metrics regarded as best practices. Collocated on the rooftop of the HKUST Supersite, four empirically selected PM sensors were compared against each other and calibrated against two reference monitors. They were then evaluated against the reference following the protocol. The PlanTower PMS-A003 sensor was selected for the wearable device as it outperformed the others in terms of affordability, portability, detection capability, data quality, as well as humidity and condensation insusceptibility. An automated approach was proposed to identify and remove the condensation associated abnormal measurements. The proposed device has better affordability and portability as well as similar usability and data accessibility compared to those existing devices recognized. The first 10 devices were also evaluated and calibrated at the Supersite. Additional 120 units were manufactured and delivered to the subjects to acquire their daily PM2.5 exposures for investigating the association with subclinical atherosclerosis.en_US
dc.language.isoenen_US
dc.relation.ispartofarXiven_US
dc.titleField evaluation of four low-cost PM sensors and design, development and field evaluation of a wearable PM exposure monitoring systemen_US
dc.typePeer Reviewed Journal Articleen_US
dc.identifier.doihttps://doi.org/10.48550/arXiv.2207.05140-
item.fulltextNo Fulltext-
crisitem.author.deptDepartment of Applied Data Science-
Appears in Collections:Applied Data Science - Publication
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