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Research Studies is a compilation of published research articles funded by AHRQ or authored by AHRQ researchers.
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1 to 1 of 1 Research Studies DisplayedPereira T, Gadhoumi K, Ma M
A supervised approach to robust photoplethysmography quality assessment.
In this paper, the investigators tested the performance of algorithms selected from a body of studies on photoplethysmogram (PPG) quality assessment using a dataset of PPG recordings from patients with AFib. They then proposed machine learning approaches for PPG quality assessment in 30-s segments of PPG recording from 13 stroke patients admitted to the University of California San Francisco (UCSF) neuro intensive care unit and another dataset of 3764 patients from one of the five UCSF general intensive care units.
AHRQ-funded; HS022860.
Citation: Pereira T, Gadhoumi K, Ma M .
A supervised approach to robust photoplethysmography quality assessment.
IEEE J Biomed Health Inform 2020 Mar;24(3):649-57. doi: 10.1109/jbhi.2019.2909065..
Keywords: Heart Disease and Health, Cardiovascular Conditions, Stroke, Diagnostic Safety and Quality