ArticlePhysiological reports2025
Artifact management methodologies for arterial blood pressure signals: A systematic scoping review of human and animal literature.
Article in Physiological reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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
3 citing papers in PubMed.
- Data for Machine Learning Models: Clinical Experience Determines Interrater Reliability in Waveform Anomaly Detection.Neurocritical care · 2026Article
- Accelerometers improve detection of movement related artifact in bedside ICU data.Journal of clinical monitoring and computing · 2026Article
- Artifact management methodologies for arterial blood pressure signals: A systematic scoping review of human and animal literature.Physiological reports · 2025Article
Corrections and comments
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Authors and funding
11 authors.
Funding
Abstract
Arterial blood pressure (ABP) is a broadly measured vital signal used to monitor cardiovascular health through raw signal and derived metrics. Artifacts are a pervasive issue, resulting in a declined utility of the signal. The aim of this review was to examine the existing literature pertinent to artifact management strategies in ABP signals. A search of five databases was conducted based on the Preferred Reporting Items for Systematic Reviews and Meta-Analysis guidelines. The search question examined existing algorithms for artifact management in ABP signals. The initial search yielded 15,564 articles (update included 1967 additional). The review included 73 articles. Categories included: (1) artifact management in low-frequency signals, (2) artifact management in full-waveform signals, (3) identification of valid or fiducial points. There were several algorithms that achieved strong effectiveness results. However, there was poor algorithm generalizability and inter-comparability due to insufficient population size, diversity in recording methodologies, and external validation. This made it difficult to quantitatively elucidate a leading method. Real-time utility was also not mentioned, critical for clinical use. This work provides novel insights into the literature regarding artifact management in ABP, identifying shortcomings and ways in which a more generalizable solution can be identified.
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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.