2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) 2015
DOI: 10.1109/embc.2015.7319751
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An improved artifact removal algorithm for continuous cardiac output and blood pressure recordings

Abstract: Measurement artifacts are common in hemodynamic recordings such as cardiac output and blood pressure. Manual artifact removal is cumbersome for large datasets, and automatic processing using algorithms may reduce workload and provide more reproducible outcomes. This paper presents an artifact removal algorithm which is more aggressive compared to a previously described method. The algorithm was evaluated on cardiac output (CO) and mean arterial pressure (MAP) recordings from 23 subjects measured by two differe… Show more

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Cited by 5 publications
(5 citation statements)
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“…Artefacts were reduced using a previously published method for detecting and removing outliers in continuous BP and CO recordings [12]. Data points for statistical analysis were constructed with 1-min intervals by averaging data over the first 10 s of each minute.…”
Section: Discussionmentioning
confidence: 99%
“…Artefacts were reduced using a previously published method for detecting and removing outliers in continuous BP and CO recordings [12]. Data points for statistical analysis were constructed with 1-min intervals by averaging data over the first 10 s of each minute.…”
Section: Discussionmentioning
confidence: 99%
“…PerioPerative Medicine pasma et al data, as used in this paper. [15][16][17][18][19] More advanced methods exist (e.g., models or machine learning algorithms that identify artifacts); although, the downfall of these more advanced methods is that they require a training set to train an algorithm, of which obtaining is labor intensive. When artifacts are identified and subsequently removed, there are several options that can be used to fill in the gaps.…”
Section: Systematic Searchmentioning
confidence: 99%
“…procedures should be new (no procedures on the same patient in the previous yr) and have sufficient (at least 15) invasive blood pressure measurements available after time of induction. 2,3,[15][16][17][18][19][20][21][22][23][24][25][26][27] Copyright © 2020, the American Society of Anesthesiologists, Inc. Unauthorized reproduction of this article is prohibited.…”
Section: Strengths and Limitationsmentioning
confidence: 99%
“…Artefacts were reduced using a previously published method for detecting and removing outliers in continuous blood pressure and cardiac output recordings [12]. Data points for statistical analysis were constructed with one-minute intervals, by averaging data over the first 10 seconds of each minute.…”
Section: Statisticsmentioning
confidence: 99%