Unexpected sawtooth artifact in beat-to-beat pulse transit time measured from patient monitor data

PloS One
Yu-Ting LinHau-Tieng Wu

Abstract

It is increasingly popular to collect as much data as possible in the hospital setting from clinical monitors for research purposes. However, in this setup the data calibration issue is often not discussed and, rather, implicitly assumed, while the clinical monitors might not be designed for the data analysis purpose. We hypothesize that this calibration issue for a secondary analysis may become an important source of artifacts in patient monitor data. We test an off-the-shelf integrated photoplethysmography (PPG) and electrocardiogram (ECG) monitoring device for its ability to yield a reliable pulse transit time (PTT) signal. This is a retrospective clinical study using two databases: one containing 35 subjects who underwent laparoscopic cholecystectomy, another containing 22 subjects who underwent spontaneous breathing test in the intensive care unit. All data sets include recordings of PPG and ECG using a commonly deployed patient monitor. We calculated the PTT signal offline. We report a novel constant oscillatory pattern in the PTT signal and identify this pattern as a sawtooth artifact. We apply an approach based on the de-shape method to visualize, quantify and validate this sawtooth artifact. The PPG and ECG signals not...Continue Reading

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Citations

Oct 9, 2020·PloS One·Sebastian Grøvdal Schaanning, Nils Kristian Skjaervold

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Methods Mentioned

BETA
sedation

Software Mentioned

MediCollector
ixTrend Express
dsSTFT

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