2020
DOI: 10.1097/aln.0000000000003131
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Artifact Processing Methods Influence on Intraoperative Hypotension Quantification and Outcome Effect Estimates

Abstract: Background Physiologic data that is automatically collected during anesthesia is widely used for medical record keeping and clinical research. These data contain artifacts, which are not relevant in clinical care, but may influence research results. The aim of this study was to explore the effect of different methods of filtering and processing artifacts in anesthesiology data on study findings in order to demonstrate the importance of proper artifact filtering. … Show more

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Cited by 13 publications
(10 citation statements)
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References 48 publications
(57 reference statements)
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“…Besides the abovementioned artifacts, patient movement during BP measurements or leaning against the patient's arm used for BP monitoring may falsify BP reading. In addition, substantial variations in BP reading between different measurement systems may occur because different monitor devices use different algorithms for data processing, data averaging, and artifact filtering [48].…”
Section: Complications Of Arterial Catheter Placementmentioning
confidence: 99%
“…Besides the abovementioned artifacts, patient movement during BP measurements or leaning against the patient's arm used for BP monitoring may falsify BP reading. In addition, substantial variations in BP reading between different measurement systems may occur because different monitor devices use different algorithms for data processing, data averaging, and artifact filtering [48].…”
Section: Complications Of Arterial Catheter Placementmentioning
confidence: 99%
“…19,20 One study found that up to over 30% of invasive blood pressure data could contain artifacts. 19 Therefore, data should be reviewed using visual analytics 3 as well as other approaches to assist artifact processing 21,22 in an effort to enhance data quality and mitigate the potential for inaccurate analyses as well as study interpretations. Manual data collection might also contain artifacts, and the advantage of the proposed method (or any data extraction from the EHR) might be to facilitate increased sampling of more data to facilitate further examination of the data characteristics such as its distribution, number of gaussians or outliers.…”
Section: Discussionmentioning
confidence: 99%
“…14 The rules selected to define artefacts may be updated according to experience and the literature. 15 The successive rules will be recorded in a register, and all recordings will be reviewed in the light of these new rules.…”
Section: Detection Of Artefactsmentioning
confidence: 99%