ArticleEnvironmental research2018
Development of an approach to correcting MicroPEM baseline drift.
Article in Environmental research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
6 citing papers in PubMed, 19 citations in OpenAlex.
- Using time-resolved monitor wearing data to study the effect of clean cooking interventions on personal air pollution exposures.Journal of exposure science & environmental epidemiology · 2023Trial
- Effectiveness of portable HEPA air cleaners on reducing indoor PMIndoor air · 2021Trial
- Effects of indoor air pollution on clinical outcomes in patients with interstitial lung disease: protocol of a multicentre prospective observational study.BMJ open respiratory research · 2024Article
- Children's Particulate Matter Exposure Characterization as Part of the New Hampshire Birth Cohort Study.International journal of environmental research and public health · 2021Article
- Article
- Identification of Bicycling Periods Using the MicroPEM Personal Exposure Monitor.Sensors (Basel, Switzerland) · 2019Article
Corrections and comments
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Authors and funding
6 authors at 3 institutions in 2 countries.
Funding
Abstract
backgroundFine particulate matter (PM
methodA running baseline & gravimetric correction (RBGC) method was developed based on the comparison of MicroPEM readings during inactive periods to ambient PM
resultsThe percentages of acquisitions with baseline drift problems were 42%, 53% and 10% for raw, HEPA corrected, and RBGC corrected data, respectively. Pearson correlation analysis of duplicates showed an increase in the coefficient of determination from 0.75 for raw data to 0.97 after RBGC correction. In addition, the slope of the regression line increased from 0.60 for raw data to 1.00 after RBGC correction.
conclusionsThe RBGC approach corrected the baseline drift issue associated with MicroPEM data. The algorithm developed has the potential for use with data generated from other types of PM sensors that contain a filter for weighing as well. In addition, this approach can be applied in many other regions, given widely available ambient PM data from monitoring networks, especially in urban areas.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.