Potential Role of Infrared Imaging for Detecting Facial Seal Leaks in Filtering Facepiece Respirator Users.
Infrared imaging (IRI) can detect airflow through and near respirator masks based upon temperature differences between ambient and exhaled air. This study investigated the potential usefulness of IRI for detecting leaks and providing insight into the sites and significance of leaks. Subjects (n = 16...
| Published in: | Journal of Occupational & Environmental Hygiene Vol. 12; no. 6; pp. 369 - 376 |
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| Main Authors: | , , , , |
| Format: | research tables/charts Journal Article |
| Published: |
Taylor & Francis Ltd
Jun2015
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| Online Access: | View this record in EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=103804205&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 103804205 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 15459624 V1L jtl: Journal of Occupational & Environmental Hygiene issn: 15459624 maglogo: Y pubinfo: dt: Jun2015 vid: 12 iid: 6 pid: 377 pub: Taylor & Francis Ltd place: Philadelphia, Pennsylvania artinfo: ui: 103804205 102901537 10.1080/15459624.2015.1006636 NLM25625873 103804205 ppf: 369 ppct: 7 formats: fmt: @attributes: type: P tig: atl: Potential Role of Infrared Imaging for Detecting Facial Seal Leaks in Filtering Facepiece Respirator Users. aug: au: Harber, Philip Su, Jing Badilla, Alejandro D. Rahimian, Rombod Lansey, Kirsten R. affil: Community, Environment, and Policy Division, Mel and Enid Zuckerman College of Public Health, University of Arizona, Tucson, Arizona sug: subj: Spectrophotometry, Infrared Equipment and Supplies Equipment Failure Evaluation Respiration Physiology Environment Hygiene Academic Medical Centers Arizona Chi Square Test Data Analysis Software Patient Selection Human Descriptive Statistics Male Female Male Female ab: Infrared imaging (IRI) can detect airflow through and near respirator masks based upon temperature differences between ambient and exhaled air. This study investigated the potential usefulness of IRI for detecting leaks and providing insight into the sites and significance of leaks. Subjects (n = 165) used filtering facepiece N95 respirators (N95 FFR) in the course of a research study concerning training modalities. Short sequence video infrared images were obtained during use and with intentionally introduced facial seal leaks. Fit factor (FF) was measured with condensation nuclei count methods. IRI detected leaks were scored on a four-point scale and summarized as the Total Leak Score (TLS) over six coding regions and the presence or absence of a “Big Leak” (BL) in any location. A semi-automated interpretation algorithm was also developed. IRI detected leaks are particularly common in the nasal region, but these are of limited significance. IR imaging could effectively identify many large leaks. The TLS was related to FF. Although IRI scores were related to FF, the relationship is insufficiently close for IRI to substitute for quantitative fit-testing. Using FFRs infrared techniques have potential for identifying situations with very inadequate respiratory protection. pubtype: Academic Journal doctype: research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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